Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells18876
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 28 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 6 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 37 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 49 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 47 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 11 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 14 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 7 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 5 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 31 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 37 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 56 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 4 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Active power limit source and 49 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 47 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 66 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Gear Oil TemperatureBasis Avg. [°C] and 4 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Grid Production ReactivePower Max. [W] and 4 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 12 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Min. [°] and 6 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 8 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 29 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 3 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with missing_dataHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 42 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 37 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 37 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Blades PitchAngle Max. [°] and 5 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Generator RPM Max. [RPM] and 12 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Blades PitchAngle StdDev [°] and 29 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.9%) Imbalance
Active power limit source is highly imbalanced (99.7%) Imbalance
Power factor set point is highly imbalanced (99.7%) Imbalance
Power factor set point source is highly imbalanced (99.7%) Imbalance
missing_data is highly imbalanced (95.1%) Imbalance
Generator RPM Min. [RPM] is highly skewed (γ1 = 46.75808644) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 112.9407555) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 113.6742205) Skewed
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -34.40797154) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -34.66296109) Skewed
Grid Production VoltagePhase3 Avg. [V] is highly skewed (γ1 = -33.86739984) Skewed
Active power limit [W] is highly skewed (γ1 = -30.67836967) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -77.71291797) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 84.64541263) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -60.49814825) Skewed
First Alarm parameter 1 in 10 min frame is highly skewed (γ1 = 27.99943383) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 29.28246632) Skewed
Grid on hours [h] is uniformly distributed Uniform
Grid ok hours [h] is uniformly distributed Uniform
Turbine ok hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 921 (3.5%) zeros Zeros
Generator RPM Min. [RPM] has 1641 (6.3%) zeros Zeros
Generator RPM Avg. [RPM] has 1062 (4.1%) zeros Zeros
Generator RPM StdDev [RPM] has 1013 (3.9%) zeros Zeros
Rotor RPM Max. [RPM] has 1002 (3.8%) zeros Zeros
Rotor RPM Min. [RPM] has 1720 (6.6%) zeros Zeros
Rotor RPM Avg. [RPM] has 1319 (5.0%) zeros Zeros
Rotor RPM StdDev [RPM] has 7576 (28.9%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 18768 (71.6%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 9750 (37.2%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3498 (13.3%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3432 (13.1%) zeros Zeros
Grid Production PossiblePower Min. [W] has 3979 (15.2%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3903 (14.9%) zeros Zeros
Blades PitchAngle Avg. [°] has 366 (1.4%) zeros Zeros
Blades PitchAngle StdDev [°] has 4920 (18.8%) zeros Zeros
HourCounters Average Run Avg. [h] has 527 (2.0%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 15815 (60.3%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 13757 (52.5%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 11466 (43.8%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 25915 (98.9%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 322 (1.2%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 5660 (21.6%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25419 (97.0%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 19430 (74.1%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 15772 (60.2%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 13676 (52.2%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 19444 (74.2%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 20132 (76.8%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23377 (89.2%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 13281 (50.7%) zeros Zeros
System Logs First Active Alarm No has 25419 (97.0%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25720 (98.1%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 25998 (99.2%) zeros Zeros

Reproduction

Analysis started2025-05-15 12:19:13.850652
Analysis finished2025-05-15 12:19:43.331237
Duration29.48 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-15T14:19:43.370980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-15T14:19:43.454652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1242
Distinct (%)4.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1232.8702
Minimum0
Maximum1905
Zeros921
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:43.539726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q11064
median1370
Q31653
95-th percentile1744
Maximum1905
Range1905
Interquartile range (IQR)589

Descriptive statistics

Standard deviation526.82528
Coefficient of variation (CV)0.42731611
Kurtosis0.18607434
Mean1232.8702
Median Absolute Deviation (MAD)292
Skewness-1.1486979
Sum32134761
Variance277544.88
MonotonicityNot monotonic
2025-05-15T14:19:43.622248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
 
3.5%
1055 347
 
1.3%
1056 341
 
1.3%
1057 305
 
1.2%
1058 207
 
0.8%
1645 203
 
0.8%
1644 198
 
0.8%
1646 194
 
0.7%
1059 189
 
0.7%
1666 187
 
0.7%
Other values (1232) 22973
87.7%
ValueCountFrequency (%)
0 921
3.5%
1 42
 
0.2%
2 12
 
< 0.1%
3 9
 
< 0.1%
4 12
 
< 0.1%
5 7
 
< 0.1%
6 12
 
< 0.1%
7 14
 
0.1%
8 9
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
1905 1
< 0.1%
1899 1
< 0.1%
1882 1
< 0.1%
1879 1
< 0.1%
1876 1
< 0.1%
1873 1
< 0.1%
1870 1
< 0.1%
1869 2
< 0.1%
1866 1
< 0.1%
1865 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1109
Distinct (%)4.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1010.2661
Minimum0
Maximum65535
Zeros1641
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:43.702708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1996
median1042
Q31392
95-th percentile1612
Maximum65535
Range65535
Interquartile range (IQR)396

Descriptive statistics

Standard deviation759.75699
Coefficient of variation (CV)0.75203651
Kurtosis3990.4684
Mean1010.2661
Median Absolute Deviation (MAD)263
Skewness46.758086
Sum26332586
Variance577230.69
MonotonicityNot monotonic
2025-05-15T14:19:43.781515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1641
 
6.3%
1042 627
 
2.4%
1043 592
 
2.3%
1041 537
 
2.0%
1040 415
 
1.6%
1039 363
 
1.4%
1038 360
 
1.4%
1037 320
 
1.2%
1034 284
 
1.1%
1036 265
 
1.0%
Other values (1099) 20661
78.8%
ValueCountFrequency (%)
0 1641
6.3%
1 27
 
0.1%
2 36
 
0.1%
3 19
 
0.1%
4 19
 
0.1%
5 16
 
0.1%
6 11
 
< 0.1%
7 6
 
< 0.1%
8 6
 
< 0.1%
9 9
 
< 0.1%
ValueCountFrequency (%)
65535 2
 
< 0.1%
1637 3
 
< 0.1%
1636 14
0.1%
1635 9
 
< 0.1%
1634 20
0.1%
1633 19
0.1%
1632 27
0.1%
1631 22
0.1%
1630 25
0.1%
1629 33
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1514
Distinct (%)5.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1120.3496
Minimum0
Maximum1648
Zeros1062
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:43.856800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q11049
median1153
Q31607
95-th percentile1640
Maximum1648
Range1648
Interquartile range (IQR)558

Descriptive statistics

Standard deviation513.98287
Coefficient of variation (CV)0.45877008
Kurtosis-0.18979971
Mean1120.3496
Median Absolute Deviation (MAD)370
Skewness-0.94861124
Sum29201912
Variance264178.39
MonotonicityNot monotonic
2025-05-15T14:19:43.937882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 3007
 
11.5%
1639 2606
 
9.9%
0 1062
 
4.1%
1640 553
 
2.1%
1050 446
 
1.7%
1638 438
 
1.7%
1641 360
 
1.4%
1642 308
 
1.2%
1643 271
 
1.0%
1637 242
 
0.9%
Other values (1504) 16772
64.0%
ValueCountFrequency (%)
0 1062
4.1%
1 38
 
0.1%
2 35
 
0.1%
3 38
 
0.1%
4 31
 
0.1%
5 29
 
0.1%
6 26
 
0.1%
7 20
 
0.1%
8 22
 
0.1%
9 17
 
0.1%
ValueCountFrequency (%)
1648 1
 
< 0.1%
1647 2
 
< 0.1%
1646 16
 
0.1%
1645 71
 
0.3%
1644 137
 
0.5%
1643 271
 
1.0%
1642 308
 
1.2%
1641 360
 
1.4%
1640 553
 
2.1%
1639 2606
9.9%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct512
Distinct (%)2.0%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean55.564895
Minimum0
Maximum756
Zeros1013
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.017013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median28
Q374
95-th percentile189.8
Maximum756
Range756
Interquartile range (IQR)66

Descriptive statistics

Standard deviation79.591132
Coefficient of variation (CV)1.4323996
Kurtosis14.206723
Mean55.564895
Median Absolute Deviation (MAD)23
Skewness3.2275326
Sum1448299
Variance6334.7483
MonotonicityNot monotonic
2025-05-15T14:19:44.095393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1346
 
5.1%
0 1013
 
3.9%
3 808
 
3.1%
5 770
 
2.9%
6 744
 
2.8%
4 724
 
2.8%
7 719
 
2.7%
8 676
 
2.6%
9 675
 
2.6%
10 518
 
2.0%
Other values (502) 18072
69.0%
ValueCountFrequency (%)
0 1013
3.9%
1 126
 
0.5%
2 1346
5.1%
3 808
3.1%
4 724
2.8%
5 770
2.9%
6 744
2.8%
7 719
2.7%
8 676
2.6%
9 675
2.6%
ValueCountFrequency (%)
756 1
< 0.1%
738 1
< 0.1%
737 1
< 0.1%
734 1
< 0.1%
732 2
< 0.1%
731 1
< 0.1%
730 1
< 0.1%
729 2
< 0.1%
727 2
< 0.1%
723 1
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct68
Distinct (%)0.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean59.325993
Minimum0
Maximum89
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.175790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q151
median58
Q371
95-th percentile83
Maximum89
Range89
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.380764
Coefficient of variation (CV)0.24240241
Kurtosis-0.69591429
Mean59.325993
Median Absolute Deviation (MAD)10
Skewness-0.11138706
Sum1546332
Variance206.80636
MonotonicityNot monotonic
2025-05-15T14:19:44.255127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 1202
 
4.6%
51 1141
 
4.4%
52 959
 
3.7%
55 935
 
3.6%
54 910
 
3.5%
57 870
 
3.3%
58 715
 
2.7%
53 676
 
2.6%
72 647
 
2.5%
50 644
 
2.5%
Other values (58) 17366
66.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
23 21
 
0.1%
24 8
 
< 0.1%
25 8
 
< 0.1%
26 6
 
< 0.1%
27 9
 
< 0.1%
28 47
 
0.2%
29 94
0.4%
30 220
0.8%
31 203
0.8%
ValueCountFrequency (%)
89 17
 
0.1%
88 43
 
0.2%
87 43
 
0.2%
86 78
 
0.3%
85 116
 
0.4%
84 607
2.3%
83 478
1.8%
82 396
1.5%
81 436
1.7%
80 407
1.6%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct93
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean51.197353
Minimum0
Maximum105
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.334826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q137
median45
Q362
95-th percentile93
Maximum105
Range105
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.526222
Coefficient of variation (CV)0.38139125
Kurtosis-0.12354239
Mean51.197353
Median Absolute Deviation (MAD)12
Skewness0.88114871
Sum1334459
Variance381.27336
MonotonicityNot monotonic
2025-05-15T14:19:44.413422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 1558
 
5.9%
44 1046
 
4.0%
38 986
 
3.8%
37 936
 
3.6%
43 923
 
3.5%
29 867
 
3.3%
42 805
 
3.1%
40 767
 
2.9%
39 721
 
2.8%
41 670
 
2.6%
Other values (83) 16786
64.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
14 9
< 0.1%
15 11
< 0.1%
16 12
< 0.1%
17 6
< 0.1%
18 4
 
< 0.1%
19 5
< 0.1%
20 4
 
< 0.1%
21 3
 
< 0.1%
22 3
 
< 0.1%
ValueCountFrequency (%)
105 16
 
0.1%
104 19
 
0.1%
103 17
 
0.1%
102 14
 
0.1%
101 38
 
0.1%
100 45
 
0.2%
99 87
 
0.3%
98 304
1.2%
97 248
0.9%
96 200
0.8%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct99
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean53.116938
Minimum0
Maximum111
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.493193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q138
median46
Q365
95-th percentile98
Maximum111
Range111
Interquartile range (IQR)27

Descriptive statistics

Standard deviation20.876388
Coefficient of variation (CV)0.39302694
Kurtosis-0.11465718
Mean53.116938
Median Absolute Deviation (MAD)13
Skewness0.88141584
Sum1384493
Variance435.82357
MonotonicityNot monotonic
2025-05-15T14:19:44.571217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 1488
 
5.7%
44 939
 
3.6%
45 937
 
3.6%
39 865
 
3.3%
38 849
 
3.2%
40 847
 
3.2%
29 807
 
3.1%
42 770
 
2.9%
46 753
 
2.9%
43 707
 
2.7%
Other values (89) 17103
65.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
14 4
 
< 0.1%
15 11
< 0.1%
16 16
0.1%
17 5
 
< 0.1%
18 5
 
< 0.1%
19 5
 
< 0.1%
20 3
 
< 0.1%
21 3
 
< 0.1%
22 3
 
< 0.1%
ValueCountFrequency (%)
111 21
 
0.1%
110 11
 
< 0.1%
109 10
 
< 0.1%
108 13
 
< 0.1%
107 12
 
< 0.1%
106 38
 
0.1%
105 54
 
0.2%
104 184
0.7%
103 266
1.0%
102 208
0.8%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct97
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean52.051256
Minimum0
Maximum109
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.648248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q137
median45
Q363
95-th percentile97
Maximum109
Range109
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.475572
Coefficient of variation (CV)0.39337326
Kurtosis-0.083259158
Mean52.051256
Median Absolute Deviation (MAD)12
Skewness0.90146154
Sum1356716
Variance419.24906
MonotonicityNot monotonic
2025-05-15T14:19:44.726999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 1414
 
5.4%
44 1045
 
4.0%
38 1000
 
3.8%
43 840
 
3.2%
42 787
 
3.0%
29 780
 
3.0%
37 754
 
2.9%
39 754
 
2.9%
40 724
 
2.8%
41 703
 
2.7%
Other values (87) 17264
65.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
14 11
< 0.1%
15 10
< 0.1%
16 11
< 0.1%
17 6
< 0.1%
18 4
 
< 0.1%
19 5
< 0.1%
20 3
 
< 0.1%
21 3
 
< 0.1%
22 3
 
< 0.1%
ValueCountFrequency (%)
109 10
 
< 0.1%
108 16
 
0.1%
107 17
 
0.1%
106 12
 
< 0.1%
105 17
 
0.1%
104 55
 
0.2%
103 41
 
0.2%
102 166
0.6%
101 332
1.3%
100 205
0.8%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean31.951544
Minimum0
Maximum50
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.799253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q128
median32
Q335
95-th percentile40
Maximum50
Range50
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.474931
Coefficient of variation (CV)0.14005367
Kurtosis0.77734036
Mean31.951544
Median Absolute Deviation (MAD)3
Skewness0.54388101
Sum832817
Variance20.025008
MonotonicityNot monotonic
2025-05-15T14:19:44.868362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
34 2764
10.5%
28 2259
 
8.6%
30 2242
 
8.6%
33 2240
 
8.5%
27 2013
 
7.7%
32 1981
 
7.6%
29 1952
 
7.4%
35 1695
 
6.5%
31 1640
 
6.3%
36 1351
 
5.2%
Other values (29) 5928
22.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
15 3
 
< 0.1%
16 2
 
< 0.1%
17 9
 
< 0.1%
18 11
< 0.1%
19 11
< 0.1%
20 25
0.1%
21 15
0.1%
ValueCountFrequency (%)
50 1
 
< 0.1%
49 28
 
0.1%
48 33
 
0.1%
47 20
 
0.1%
46 78
 
0.3%
45 197
0.8%
44 210
0.8%
43 122
0.5%
42 221
0.8%
41 117
0.4%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct65
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean64.942528
Minimum0
Maximum91
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:44.942565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q159
median65
Q376
95-th percentile85
Maximum91
Range91
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.820841
Coefficient of variation (CV)0.21281649
Kurtosis-0.22850169
Mean64.942528
Median Absolute Deviation (MAD)9
Skewness-0.50814886
Sum1692727
Variance191.01565
MonotonicityNot monotonic
2025-05-15T14:19:45.018275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 1266
 
4.8%
59 1149
 
4.4%
62 1041
 
4.0%
61 1029
 
3.9%
60 927
 
3.5%
64 885
 
3.4%
65 852
 
3.3%
86 717
 
2.7%
76 713
 
2.7%
77 665
 
2.5%
Other values (55) 16821
64.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
28 5
 
< 0.1%
29 33
 
0.1%
30 72
 
0.3%
31 160
0.6%
32 169
0.6%
33 131
0.5%
34 169
0.6%
35 193
0.7%
36 196
0.7%
ValueCountFrequency (%)
91 22
 
0.1%
90 35
 
0.1%
89 55
 
0.2%
88 165
 
0.6%
87 172
 
0.7%
86 717
2.7%
85 528
2.0%
84 566
2.2%
83 498
1.9%
82 434
1.7%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean33.702743
Minimum0
Maximum51
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:45.088470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q129
median34
Q336
95-th percentile42
Maximum51
Range51
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.6273952
Coefficient of variation (CV)0.13730025
Kurtosis0.37822502
Mean33.702743
Median Absolute Deviation (MAD)4
Skewness0.40505142
Sum878462
Variance21.412786
MonotonicityNot monotonic
2025-05-15T14:19:45.158624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
34 4183
16.0%
35 3790
14.5%
28 3076
11.7%
29 3055
11.7%
30 1814
6.9%
40 1413
 
5.4%
36 1311
 
5.0%
41 1261
 
4.8%
31 974
 
3.7%
32 955
 
3.6%
Other values (29) 4233
16.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
14 2
 
< 0.1%
15 7
 
< 0.1%
16 24
0.1%
17 12
< 0.1%
18 8
 
< 0.1%
19 16
0.1%
20 7
 
< 0.1%
21 8
 
< 0.1%
22 8
 
< 0.1%
ValueCountFrequency (%)
51 2
 
< 0.1%
50 7
 
< 0.1%
49 3
 
< 0.1%
48 75
 
0.3%
47 155
 
0.6%
46 132
 
0.5%
45 96
 
0.4%
44 137
 
0.5%
43 172
 
0.7%
42 570
2.2%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean49.492461
Minimum0
Maximum59
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:45.220193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q147
median50
Q352
95-th percentile54
Maximum59
Range59
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9984315
Coefficient of variation (CV)0.0605836
Kurtosis5.3708581
Mean49.492461
Median Absolute Deviation (MAD)2
Skewness-0.65147789
Sum1290021
Variance8.9905912
MonotonicityNot monotonic
2025-05-15T14:19:45.283138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
53 3420
13.0%
50 3016
11.5%
52 3013
11.5%
49 2865
10.9%
51 2653
10.1%
48 2454
9.4%
45 2232
8.5%
47 1964
7.5%
46 1750
6.7%
54 1355
 
5.2%
Other values (17) 1343
 
5.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
30 6
 
< 0.1%
31 4
 
< 0.1%
33 1
 
< 0.1%
36 1
 
< 0.1%
38 6
 
< 0.1%
39 2
 
< 0.1%
40 9
< 0.1%
41 12
< 0.1%
42 21
0.1%
ValueCountFrequency (%)
59 4
 
< 0.1%
58 6
 
< 0.1%
57 25
 
0.1%
56 97
 
0.4%
55 100
 
0.4%
54 1355
 
5.2%
53 3420
13.0%
52 3013
11.5%
51 2653
10.1%
50 3016
11.5%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.6 MiB
999.0
26065 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130325
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:45.346206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:45.381199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.6 MiB
999.0
26065 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130325
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:45.421077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:45.454327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct38
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean59.062498
Minimum0
Maximum71
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:45.498607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q155
median58
Q366
95-th percentile69
Maximum71
Range71
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.1182871
Coefficient of variation (CV)0.12052127
Kurtosis-0.34375453
Mean59.062498
Median Absolute Deviation (MAD)5
Skewness-0.27464066
Sum1539464
Variance50.670012
MonotonicityNot monotonic
2025-05-15T14:19:45.569189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
55 3210
 
12.2%
56 2072
 
7.9%
69 1549
 
5.9%
67 1485
 
5.7%
66 1222
 
4.7%
68 1211
 
4.6%
54 1208
 
4.6%
70 1182
 
4.5%
57 1117
 
4.3%
65 1077
 
4.1%
Other values (28) 10732
40.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
28 9
 
< 0.1%
32 1
 
< 0.1%
36 1
 
< 0.1%
38 24
 
0.1%
39 29
 
0.1%
40 19
 
0.1%
41 23
 
0.1%
42 50
0.2%
43 103
0.4%
ValueCountFrequency (%)
71 5
 
< 0.1%
70 1182
4.5%
69 1549
5.9%
68 1211
4.6%
67 1485
5.7%
66 1222
4.7%
65 1077
4.1%
64 933
3.6%
63 968
3.7%
62 803
3.1%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct25
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean48.99835
Minimum0
Maximum60
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:45.632718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q149
median49
Q350
95-th percentile51
Maximum60
Range60
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7444216
Coefficient of variation (CV)0.03560164
Kurtosis58.042566
Mean48.99835
Median Absolute Deviation (MAD)0
Skewness-3.7653264
Sum1277142
Variance3.0430068
MonotonicityNot monotonic
2025-05-15T14:19:45.692183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
49 14222
54.3%
51 3951
 
15.1%
48 3189
 
12.2%
50 2379
 
9.1%
45 416
 
1.6%
47 386
 
1.5%
52 361
 
1.4%
46 325
 
1.2%
44 324
 
1.2%
43 161
 
0.6%
Other values (15) 351
 
1.3%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
32 10
 
< 0.1%
37 3
 
< 0.1%
38 10
 
< 0.1%
39 58
 
0.2%
40 64
 
0.2%
41 45
 
0.2%
42 91
 
0.3%
43 161
0.6%
44 324
1.2%
ValueCountFrequency (%)
60 1
 
< 0.1%
59 5
 
< 0.1%
58 2
 
< 0.1%
57 2
 
< 0.1%
55 2
 
< 0.1%
54 15
 
0.1%
53 41
 
0.2%
52 361
 
1.4%
51 3951
15.1%
50 2379
9.1%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:45.753501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:45.787307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct43
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean60.749933
Minimum0
Maximum76
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:45.833981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q154
median59
Q371
95-th percentile74
Maximum76
Range76
Interquartile range (IQR)17

Descriptive statistics

Standard deviation9.4242726
Coefficient of variation (CV)0.15513223
Kurtosis-1.1051459
Mean60.749933
Median Absolute Deviation (MAD)8
Skewness-0.028490339
Sum1583447
Variance88.816915
MonotonicityNot monotonic
2025-05-15T14:19:45.906894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
74 2861
 
10.9%
54 1876
 
7.2%
55 1454
 
5.5%
72 1377
 
5.3%
73 1265
 
4.8%
53 1131
 
4.3%
56 1089
 
4.2%
71 882
 
3.4%
57 865
 
3.3%
50 824
 
3.1%
Other values (33) 12441
47.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
34 9
 
< 0.1%
35 3
 
< 0.1%
36 1
 
< 0.1%
37 1
 
< 0.1%
39 26
 
0.1%
40 53
 
0.2%
41 40
 
0.2%
42 93
0.4%
43 183
0.7%
ValueCountFrequency (%)
76 5
 
< 0.1%
75 159
 
0.6%
74 2861
10.9%
73 1265
4.8%
72 1377
5.3%
71 882
 
3.4%
70 713
 
2.7%
69 621
 
2.4%
68 584
 
2.2%
67 565
 
2.2%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct48
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean61.065874
Minimum0
Maximum79
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:45.982207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q155
median59
Q370
95-th percentile77
Maximum79
Range79
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.7357187
Coefficient of variation (CV)0.15942978
Kurtosis-0.85789208
Mean61.065874
Median Absolute Deviation (MAD)8
Skewness0.0071491088
Sum1591682
Variance94.784219
MonotonicityNot monotonic
2025-05-15T14:19:46.063317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
56 1847
 
7.0%
55 1555
 
5.9%
57 1360
 
5.2%
77 1255
 
4.8%
58 1075
 
4.1%
54 931
 
3.6%
76 884
 
3.4%
59 872
 
3.3%
72 840
 
3.2%
50 771
 
2.9%
Other values (38) 14675
56.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
32 6
 
< 0.1%
33 5
 
< 0.1%
34 1
 
< 0.1%
35 1
 
< 0.1%
36 1
 
< 0.1%
38 6
 
< 0.1%
39 62
0.2%
40 31
0.1%
41 75
0.3%
ValueCountFrequency (%)
79 10
 
< 0.1%
78 153
 
0.6%
77 1255
4.8%
76 884
3.4%
75 748
2.9%
74 744
2.8%
73 686
2.6%
72 840
3.2%
71 698
2.7%
70 624
2.4%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct45
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean60.069902
Minimum0
Maximum78
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:46.142878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q155
median58
Q367
95-th percentile76
Maximum78
Range78
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.918047
Coefficient of variation (CV)0.14846115
Kurtosis-0.61006039
Mean60.069902
Median Absolute Deviation (MAD)6
Skewness0.22353549
Sum1565722
Variance79.531562
MonotonicityNot monotonic
2025-05-15T14:19:46.218768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
55 3790
 
14.5%
56 2446
 
9.3%
76 1232
 
4.7%
57 1066
 
4.1%
58 910
 
3.5%
59 785
 
3.0%
63 757
 
2.9%
51 718
 
2.7%
65 670
 
2.6%
61 661
 
2.5%
Other values (35) 13030
49.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
33 10
 
< 0.1%
34 2
 
< 0.1%
35 1
 
< 0.1%
36 1
 
< 0.1%
39 11
 
< 0.1%
40 58
 
0.2%
41 52
 
0.2%
42 100
0.4%
43 195
0.7%
ValueCountFrequency (%)
78 7
 
< 0.1%
77 410
 
1.6%
76 1232
4.7%
75 649
2.5%
74 640
2.4%
73 547
2.1%
72 559
2.1%
71 500
1.9%
70 550
2.1%
69 599
2.3%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean66.371034
Minimum0
Maximum75
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:46.291233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q167
median68
Q373
95-th percentile74
Maximum75
Range75
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.2304858
Coefficient of variation (CV)0.1240072
Kurtosis1.282295
Mean66.371034
Median Absolute Deviation (MAD)4
Skewness-1.4701943
Sum1729961
Variance67.740897
MonotonicityNot monotonic
2025-05-15T14:19:46.365309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
67 5772
22.0%
73 4671
17.8%
72 2387
9.1%
74 1954
 
7.5%
68 1862
 
7.1%
71 1151
 
4.4%
69 1125
 
4.3%
70 924
 
3.5%
50 498
 
1.9%
66 456
 
1.7%
Other values (30) 5265
20.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
36 11
 
< 0.1%
37 3
 
< 0.1%
39 5
 
< 0.1%
40 10
 
< 0.1%
41 15
 
0.1%
42 114
0.4%
43 138
0.5%
44 224
0.9%
45 181
0.7%
ValueCountFrequency (%)
75 88
 
0.3%
74 1954
 
7.5%
73 4671
17.8%
72 2387
9.1%
71 1151
 
4.4%
70 924
 
3.5%
69 1125
 
4.3%
68 1862
 
7.1%
67 5772
22.0%
66 456
 
1.7%
Distinct45
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean65.588529
Minimum0
Maximum79
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:46.440920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q165
median66
Q373
95-th percentile76
Maximum79
Range79
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.0564993
Coefficient of variation (CV)0.13808054
Kurtosis0.59689281
Mean65.588529
Median Absolute Deviation (MAD)5
Skewness-1.0843146
Sum1709565
Variance82.02018
MonotonicityNot monotonic
2025-05-15T14:19:46.520517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
65 4591
17.5%
66 2306
 
8.8%
74 1474
 
5.6%
76 1439
 
5.5%
67 1374
 
5.2%
75 1339
 
5.1%
73 1327
 
5.1%
72 1088
 
4.2%
77 1057
 
4.0%
71 968
 
3.7%
Other values (35) 9102
34.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
34 10
 
< 0.1%
35 4
 
< 0.1%
38 12
 
< 0.1%
39 14
 
0.1%
40 100
 
0.4%
41 106
0.4%
42 203
0.8%
43 169
0.6%
44 251
1.0%
ValueCountFrequency (%)
79 2
 
< 0.1%
78 15
 
0.1%
77 1057
4.0%
76 1439
5.5%
75 1339
5.1%
74 1474
5.6%
73 1327
5.1%
72 1088
4.2%
71 968
3.7%
70 925
3.5%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean32.995243
Minimum0
Maximum48
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:46.594299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q130
median33
Q335
95-th percentile40
Maximum48
Range48
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9053479
Coefficient of variation (CV)0.11836094
Kurtosis1.282969
Mean32.995243
Median Absolute Deviation (MAD)2
Skewness0.45266456
Sum860021
Variance15.251742
MonotonicityNot monotonic
2025-05-15T14:19:46.659840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
34 4439
16.9%
35 2892
11.0%
30 2337
8.9%
32 2211
8.4%
31 2025
7.7%
29 1965
7.5%
33 1960
7.5%
36 1567
 
6.0%
28 1340
 
5.1%
27 1201
 
4.6%
Other values (21) 4128
15.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
19 31
 
0.1%
20 28
 
0.1%
21 10
 
< 0.1%
22 12
 
< 0.1%
23 6
 
< 0.1%
24 10
 
< 0.1%
25 70
 
0.3%
26 350
 
1.3%
27 1201
4.6%
ValueCountFrequency (%)
48 9
 
< 0.1%
47 25
 
0.1%
46 106
 
0.4%
45 176
 
0.7%
44 160
 
0.6%
43 110
 
0.4%
42 204
0.8%
41 373
1.4%
40 456
1.7%
39 360
1.4%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3358
Distinct (%)12.9%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean223.2498
Minimum0
Maximum359.4
Zeros47
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:46.732091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.3
Q1132.1
median262.6
Q3309.3
95-th percentile336
Maximum359.4
Range359.4
Interquartile range (IQR)177.2

Descriptive statistics

Standard deviation100.15864
Coefficient of variation (CV)0.44863932
Kurtosis-1.0961923
Mean223.2498
Median Absolute Deviation (MAD)59
Skewness-0.58303571
Sum5819006.1
Variance10031.753
MonotonicityNot monotonic
2025-05-15T14:19:46.812688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321.2 128
 
0.5%
219.3 109
 
0.4%
279 97
 
0.4%
317.5 86
 
0.3%
295.1 78
 
0.3%
314.3 78
 
0.3%
103.9 77
 
0.3%
314 74
 
0.3%
315 73
 
0.3%
318.8 71
 
0.3%
Other values (3348) 25194
96.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 47
0.2%
0.5 3
 
< 0.1%
0.8 3
 
< 0.1%
1.2 13
 
< 0.1%
1.8 1
 
< 0.1%
1.9 2
 
< 0.1%
2.3 2
 
< 0.1%
2.5 1
 
< 0.1%
2.6 6
 
< 0.1%
2.9 4
 
< 0.1%
ValueCountFrequency (%)
359.4 9
< 0.1%
359.1 6
< 0.1%
358.7 2
 
< 0.1%
358.4 3
 
< 0.1%
358.3 1
 
< 0.1%
358.2 2
 
< 0.1%
357.9 1
 
< 0.1%
357.7 1
 
< 0.1%
357.6 1
 
< 0.1%
357.5 1
 
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct152
Distinct (%)0.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean11.775431
Minimum0
Maximum18.6
Zeros1002
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:46.891904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q110.2
median13.1
Q315.8
95-th percentile16.6
Maximum18.6
Range18.6
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation5.0275039
Coefficient of variation (CV)0.42694863
Kurtosis0.1933426
Mean11.775431
Median Absolute Deviation (MAD)2.8
Skewness-1.1521034
Sum306926.6
Variance25.275796
MonotonicityNot monotonic
2025-05-15T14:19:46.971133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2033
 
7.8%
15.7 1734
 
6.6%
15.8 1649
 
6.3%
15.9 1611
 
6.1%
10.2 1210
 
4.6%
16 1003
 
3.8%
0 1002
 
3.8%
10.3 689
 
2.6%
15.6 602
 
2.3%
16.1 463
 
1.8%
Other values (142) 14069
53.7%
ValueCountFrequency (%)
0 1002
3.8%
0.1 91
 
0.3%
0.2 98
 
0.4%
0.3 76
 
0.3%
0.4 62
 
0.2%
0.5 54
 
0.2%
0.6 60
 
0.2%
0.7 54
 
0.2%
0.8 56
 
0.2%
0.9 43
 
0.2%
ValueCountFrequency (%)
18.6 1
 
< 0.1%
18.1 2
 
< 0.1%
17.9 4
 
< 0.1%
17.8 5
 
< 0.1%
17.7 13
 
< 0.1%
17.6 25
 
0.1%
17.5 23
 
0.1%
17.4 49
0.2%
17.3 78
0.3%
17.2 89
0.3%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct136
Distinct (%)0.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean10.103418
Minimum0
Maximum6553.5
Zeros1720
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:47.049990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.5
median10
Q313.3
95-th percentile15.4
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation57.52539
Coefficient of variation (CV)5.6936561
Kurtosis12845.83
Mean10.103418
Median Absolute Deviation (MAD)2.5
Skewness112.94076
Sum263345.6
Variance3309.1705
MonotonicityNot monotonic
2025-05-15T14:19:47.128090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 3394
 
13.0%
10 1811
 
6.9%
9.8 1726
 
6.6%
0 1720
 
6.6%
15.4 905
 
3.5%
15.3 773
 
2.9%
9.7 654
 
2.5%
11.9 583
 
2.2%
15.5 582
 
2.2%
15.2 495
 
1.9%
Other values (126) 13422
51.2%
ValueCountFrequency (%)
0 1720
6.6%
0.1 95
 
0.4%
0.2 88
 
0.3%
0.3 64
 
0.2%
0.4 75
 
0.3%
0.5 98
 
0.4%
0.6 102
 
0.4%
0.7 114
 
0.4%
0.8 103
 
0.4%
0.9 111
 
0.4%
ValueCountFrequency (%)
6553.5 2
 
< 0.1%
15.6 174
 
0.7%
15.5 582
2.2%
15.4 905
3.5%
15.3 773
2.9%
15.2 495
1.9%
15.1 387
1.5%
15 354
 
1.4%
14.9 365
1.4%
14.8 328
 
1.3%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean10.656681
Minimum0
Maximum15.7
Zeros1319
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:47.204519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median11
Q315.3
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation4.8990429
Coefficient of variation (CV)0.45971562
Kurtosis-0.18711808
Mean10.656681
Median Absolute Deviation (MAD)3.5
Skewness-0.95058573
Sum277766.4
Variance24.000622
MonotonicityNot monotonic
2025-05-15T14:19:47.285464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.6 5398
20.6%
10 4635
 
17.7%
0 1319
 
5.0%
10.1 660
 
2.5%
15.5 569
 
2.2%
10.2 412
 
1.6%
15.4 388
 
1.5%
10.3 349
 
1.3%
10.4 298
 
1.1%
15.3 262
 
1.0%
Other values (148) 11775
44.9%
ValueCountFrequency (%)
0 1319
5.0%
0.1 110
 
0.4%
0.2 90
 
0.3%
0.3 48
 
0.2%
0.4 63
 
0.2%
0.5 70
 
0.3%
0.6 54
 
0.2%
0.7 49
 
0.2%
0.8 63
 
0.2%
0.9 53
 
0.2%
ValueCountFrequency (%)
15.7 24
 
0.1%
15.6 5398
20.6%
15.5 569
 
2.2%
15.4 388
 
1.5%
15.3 262
 
1.0%
15.2 245
 
0.9%
15.1 205
 
0.8%
15 223
 
0.9%
14.9 186
 
0.7%
14.8 153
 
0.6%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct73
Distinct (%)0.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.48980242
Minimum0
Maximum7.2
Zeros7576
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:47.365336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile1.8
Maximum7.2
Range7.2
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.75970368
Coefficient of variation (CV)1.5510411
Kurtosis14.421652
Mean0.48980242
Median Absolute Deviation (MAD)0.2
Skewness3.2517531
Sum12766.7
Variance0.57714969
MonotonicityNot monotonic
2025-05-15T14:19:47.443532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7576
28.9%
0.1 3673
14.0%
0.2 2484
 
9.5%
0.3 1881
 
7.2%
0.4 1484
 
5.7%
0.5 1222
 
4.7%
0.6 1100
 
4.2%
0.7 995
 
3.8%
0.8 925
 
3.5%
0.9 758
 
2.9%
Other values (63) 3967
15.1%
ValueCountFrequency (%)
0 7576
28.9%
0.1 3673
14.0%
0.2 2484
 
9.5%
0.3 1881
 
7.2%
0.4 1484
 
5.7%
0.5 1222
 
4.7%
0.6 1100
 
4.2%
0.7 995
 
3.8%
0.8 925
 
3.5%
0.9 758
 
2.9%
ValueCountFrequency (%)
7.2 1
 
< 0.1%
7.1 1
 
< 0.1%
7 4
< 0.1%
6.9 9
< 0.1%
6.8 8
< 0.1%
6.7 4
< 0.1%
6.6 2
 
< 0.1%
6.5 2
 
< 0.1%
6.4 2
 
< 0.1%
6.3 4
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct372
Distinct (%)1.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean10.06506
Minimum0
Maximum41.7
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:48.144684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q15.7
median8.5
Q312.9
95-th percentile21.9
Maximum41.7
Range41.7
Interquartile range (IQR)7.2

Descriptive statistics

Standard deviation6.0108574
Coefficient of variation (CV)0.59720033
Kurtosis1.7922838
Mean10.06506
Median Absolute Deviation (MAD)3.3
Skewness1.304898
Sum262345.8
Variance36.130407
MonotonicityNot monotonic
2025-05-15T14:19:48.219798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 269
 
1.0%
7.8 264
 
1.0%
7.5 263
 
1.0%
5.2 262
 
1.0%
5.5 259
 
1.0%
5.1 254
 
1.0%
6.8 253
 
1.0%
5.7 252
 
1.0%
5 252
 
1.0%
5.3 251
 
1.0%
Other values (362) 23486
89.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.8 1
 
< 0.1%
0.9 1
 
< 0.1%
1 8
 
< 0.1%
1.1 5
 
< 0.1%
1.2 9
 
< 0.1%
1.3 17
0.1%
1.4 11
< 0.1%
1.5 15
0.1%
1.6 25
0.1%
ValueCountFrequency (%)
41.7 1
< 0.1%
40.9 1
< 0.1%
39.8 1
< 0.1%
39.5 1
< 0.1%
39.1 1
< 0.1%
38.8 1
< 0.1%
38.4 1
< 0.1%
38.2 1
< 0.1%
38.1 1
< 0.1%
37.8 1
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Skewed 

Distinct184
Distinct (%)0.7%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.8688663
Minimum0
Maximum6553.5
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:48.293921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q12
median3.7
Q36
95-th percentile10.1
Maximum6553.5
Range6553.5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation57.447447
Coefficient of variation (CV)11.798937
Kurtosis12957.092
Mean4.8688663
Median Absolute Deviation (MAD)1.9
Skewness113.67422
Sum126907
Variance3300.2092
MonotonicityNot monotonic
2025-05-15T14:19:48.370370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7 490
 
1.9%
1.3 469
 
1.8%
1.4 459
 
1.8%
3.8 456
 
1.7%
3.6 455
 
1.7%
1.6 455
 
1.7%
3.4 436
 
1.7%
3.5 435
 
1.7%
1.5 433
 
1.7%
3.7 428
 
1.6%
Other values (174) 21549
82.2%
ValueCountFrequency (%)
0 15
 
0.1%
0.3 400
1.5%
0.4 280
1.1%
0.5 244
0.9%
0.6 259
1.0%
0.7 285
1.1%
0.8 306
1.2%
0.9 341
1.3%
1 375
1.4%
1.1 393
1.5%
ValueCountFrequency (%)
6553.5 2
< 0.1%
19.8 1
< 0.1%
18.7 1
< 0.1%
18.5 1
< 0.1%
18.4 1
< 0.1%
18.3 1
< 0.1%
18 2
< 0.1%
17.9 2
< 0.1%
17.8 2
< 0.1%
17.7 2
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct293
Distinct (%)1.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.2033493
Minimum0
Maximum31.1
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:48.448398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13.9
median6
Q39.4
95-th percentile16.5
Maximum31.1
Range31.1
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.5948148
Coefficient of variation (CV)0.63787199
Kurtosis1.9103789
Mean7.2033493
Median Absolute Deviation (MAD)2.5
Skewness1.3301771
Sum187755.3
Variance21.112323
MonotonicityNot monotonic
2025-05-15T14:19:48.524708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 398
 
1.5%
4.2 394
 
1.5%
4.1 383
 
1.5%
4.4 372
 
1.4%
3.8 363
 
1.4%
4.3 349
 
1.3%
3.6 345
 
1.3%
3.9 345
 
1.3%
4.5 334
 
1.3%
4.6 332
 
1.3%
Other values (283) 22450
85.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.4 7
 
< 0.1%
0.5 10
 
< 0.1%
0.6 11
 
< 0.1%
0.7 27
 
0.1%
0.8 35
0.1%
0.9 47
0.2%
1 51
0.2%
1.1 80
0.3%
1.2 80
0.3%
ValueCountFrequency (%)
31.1 1
< 0.1%
30 1
< 0.1%
29.7 1
< 0.1%
29.6 1
< 0.1%
29.5 1
< 0.1%
29.3 1
< 0.1%
29.2 1
< 0.1%
29 1
< 0.1%
28.9 1
< 0.1%
28.7 1
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct47
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.89179743
Minimum0
Maximum6
Zeros32
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:48.599371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.7
Q31.2
95-th percentile2.1
Maximum6
Range6
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.6134612
Coefficient of variation (CV)0.68789299
Kurtosis3.1563395
Mean0.89179743
Median Absolute Deviation (MAD)0.3
Skewness1.5232843
Sum23244.7
Variance0.37633465
MonotonicityNot monotonic
2025-05-15T14:19:48.674708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.5 2593
 
9.9%
0.4 2492
 
9.5%
0.6 2409
 
9.2%
0.7 2108
 
8.0%
0.3 1956
 
7.5%
0.8 1803
 
6.9%
0.9 1505
 
5.7%
0.2 1494
 
5.7%
1 1285
 
4.9%
1.1 1142
 
4.4%
Other values (37) 7278
27.8%
ValueCountFrequency (%)
0 32
 
0.1%
0.1 437
 
1.7%
0.2 1494
5.7%
0.3 1956
7.5%
0.4 2492
9.5%
0.5 2593
9.9%
0.6 2409
9.2%
0.7 2108
8.0%
0.8 1803
6.9%
0.9 1505
5.7%
ValueCountFrequency (%)
6 1
 
< 0.1%
4.7 1
 
< 0.1%
4.5 3
 
< 0.1%
4.3 2
 
< 0.1%
4.2 3
 
< 0.1%
4.1 3
 
< 0.1%
4 8
 
< 0.1%
3.9 14
0.1%
3.8 13
< 0.1%
3.7 21
0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct1782
Distinct (%)6.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-1.6894111
Minimum-178
Maximum179.9
Zeros128
Zeros (%)0.5%
Negative22001
Negative (%)83.9%
Memory size1.4 MiB
2025-05-15T14:19:48.749442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-178
5-th percentile-9.5
Q1-4.7
median-3
Q3-1.2
95-th percentile18.4
Maximum179.9
Range357.9
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation23.620325
Coefficient of variation (CV)-13.981396
Kurtosis25.398077
Mean-1.6894111
Median Absolute Deviation (MAD)1.7
Skewness0.92218211
Sum-44034.5
Variance557.91974
MonotonicityNot monotonic
2025-05-15T14:19:48.824624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.1 454
 
1.7%
-3.8 450
 
1.7%
-3.7 440
 
1.7%
-3.4 435
 
1.7%
-3.5 433
 
1.7%
-2.5 430
 
1.6%
-3.3 429
 
1.6%
-3.2 428
 
1.6%
-2.9 419
 
1.6%
-3.9 418
 
1.6%
Other values (1772) 21729
82.9%
ValueCountFrequency (%)
-178 1
< 0.1%
-177.4 1
< 0.1%
-177.1 1
< 0.1%
-176.9 1
< 0.1%
-176.7 1
< 0.1%
-176.1 2
< 0.1%
-175.2 1
< 0.1%
-175 1
< 0.1%
-174.8 1
< 0.1%
-174.5 2
< 0.1%
ValueCountFrequency (%)
179.9 1
< 0.1%
179.5 1
< 0.1%
179.1 1
< 0.1%
178.7 1
< 0.1%
178.3 1
< 0.1%
177.4 1
< 0.1%
177.2 1
< 0.1%
177.1 1
< 0.1%
176.5 1
< 0.1%
176.2 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3537
Distinct (%)13.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean221.42824
Minimum0
Maximum359.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:48.899947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.92
Q1129.3
median261.9
Q3307.5
95-th percentile337.1
Maximum359.8
Range359.8
Interquartile range (IQR)178.2

Descriptive statistics

Standard deviation101.7116
Coefficient of variation (CV)0.4593434
Kurtosis-1.1005358
Mean221.42824
Median Absolute Deviation (MAD)58.4
Skewness-0.58507918
Sum5771527.1
Variance10345.25
MonotonicityNot monotonic
2025-05-15T14:19:48.981430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304.3 44
 
0.2%
314.5 38
 
0.1%
310.6 38
 
0.1%
315.1 38
 
0.1%
302.6 37
 
0.1%
305.2 37
 
0.1%
309.9 37
 
0.1%
308.7 36
 
0.1%
311.7 36
 
0.1%
308.5 36
 
0.1%
Other values (3527) 25688
98.0%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.1 3
< 0.1%
0.2 4
< 0.1%
0.3 4
< 0.1%
0.4 4
< 0.1%
0.5 3
< 0.1%
0.6 3
< 0.1%
0.7 7
< 0.1%
0.8 1
 
< 0.1%
0.9 2
 
< 0.1%
ValueCountFrequency (%)
359.8 7
< 0.1%
359.7 2
 
< 0.1%
359.6 5
< 0.1%
359.5 1
 
< 0.1%
359.4 3
< 0.1%
359.3 3
< 0.1%
359.1 4
< 0.1%
359 3
< 0.1%
358.9 2
 
< 0.1%
358.8 1
 
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean11.266296
Minimum0
Maximum32
Zeros112
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:49.054973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q315
95-th percentile23
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.986488
Coefficient of variation (CV)0.53136258
Kurtosis0.52216773
Mean11.266296
Median Absolute Deviation (MAD)4
Skewness0.85884338
Sum293656
Variance35.838039
MonotonicityNot monotonic
2025-05-15T14:19:49.119984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 2445
 
9.3%
6 2066
 
7.9%
8 2058
 
7.9%
9 1873
 
7.1%
5 1623
 
6.2%
14 1565
 
6.0%
10 1448
 
5.5%
12 1379
 
5.3%
13 1362
 
5.2%
11 1241
 
4.7%
Other values (23) 9005
34.4%
ValueCountFrequency (%)
0 112
 
0.4%
1 210
 
0.8%
2 345
 
1.3%
3 476
 
1.8%
4 1027
3.9%
5 1623
6.2%
6 2066
7.9%
7 2445
9.3%
8 2058
7.9%
9 1873
7.1%
ValueCountFrequency (%)
32 5
 
< 0.1%
31 40
 
0.2%
30 144
0.5%
29 118
0.5%
28 199
0.8%
27 227
0.9%
26 107
0.4%
25 183
0.7%
24 174
0.7%
23 205
0.8%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:49.184361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:49.218150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean38.059045
Minimum0
Maximum60
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:49.260171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q133
median38
Q341
95-th percentile51
Maximum60
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.3692043
Coefficient of variation (CV)0.16735061
Kurtosis0.069620466
Mean38.059045
Median Absolute Deviation (MAD)4
Skewness0.74756905
Sum992009
Variance40.566764
MonotonicityNot monotonic
2025-05-15T14:19:49.323907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
38 2673
 
10.2%
39 2405
 
9.2%
31 2112
 
8.1%
37 1882
 
7.2%
30 1741
 
6.6%
40 1505
 
5.7%
34 1328
 
5.1%
36 1290
 
4.9%
32 1282
 
4.9%
35 1276
 
4.9%
Other values (23) 8571
32.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
29 805
 
3.1%
30 1741
6.6%
31 2112
8.1%
32 1282
4.9%
33 1169
4.5%
34 1328
5.1%
35 1276
4.9%
36 1290
4.9%
37 1882
7.2%
ValueCountFrequency (%)
60 4
 
< 0.1%
59 8
 
< 0.1%
58 17
 
0.1%
57 66
 
0.3%
56 64
 
0.2%
55 60
 
0.2%
54 83
 
0.3%
53 153
 
0.6%
52 558
2.1%
51 712
2.7%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean38.709649
Minimum0
Maximum61
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:49.389078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median38
Q342
95-th percentile52
Maximum61
Range61
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.4522215
Coefficient of variation (CV)0.16668251
Kurtosis-0.090140991
Mean38.709649
Median Absolute Deviation (MAD)5
Skewness0.7357004
Sum1008967
Variance41.631163
MonotonicityNot monotonic
2025-05-15T14:19:49.453682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
32 2711
 
10.3%
39 2281
 
8.7%
40 2260
 
8.6%
31 1891
 
7.2%
38 1784
 
6.8%
33 1749
 
6.7%
37 1391
 
5.3%
34 1169
 
4.5%
41 1154
 
4.4%
36 1140
 
4.3%
Other values (24) 8535
32.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
29 100
 
0.4%
30 776
 
3.0%
31 1891
7.2%
32 2711
10.3%
33 1749
6.7%
34 1169
4.5%
35 1030
 
3.9%
36 1140
4.3%
37 1391
5.3%
ValueCountFrequency (%)
61 1
 
< 0.1%
60 7
 
< 0.1%
59 6
 
< 0.1%
58 48
 
0.2%
57 63
 
0.2%
56 70
 
0.3%
55 69
 
0.3%
54 121
 
0.5%
53 333
1.3%
52 661
2.5%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean37.423863
Minimum0
Maximum59
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:49.518706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median37
Q340
95-th percentile50
Maximum59
Range59
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.3378545
Coefficient of variation (CV)0.16935329
Kurtosis-0.098975375
Mean37.423863
Median Absolute Deviation (MAD)5
Skewness0.74240472
Sum975453
Variance40.168399
MonotonicityNot monotonic
2025-05-15T14:19:49.585158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
31 2710
 
10.3%
38 2260
 
8.6%
30 2120
 
8.1%
39 2050
 
7.8%
37 1980
 
7.6%
32 1680
 
6.4%
36 1530
 
5.8%
35 1144
 
4.4%
33 1118
 
4.3%
34 1069
 
4.1%
Other values (22) 8404
32.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
29 1058
 
4.0%
30 2120
8.1%
31 2710
10.3%
32 1680
6.4%
33 1118
4.3%
34 1069
 
4.1%
35 1144
4.4%
36 1530
5.8%
37 1980
7.6%
ValueCountFrequency (%)
59 3
 
< 0.1%
58 7
 
< 0.1%
57 17
 
0.1%
56 63
 
0.2%
55 64
 
0.2%
54 64
 
0.2%
53 90
 
0.3%
52 167
 
0.6%
51 579
2.2%
50 752
2.9%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct28
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean36.746787
Minimum0
Maximum55
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:49.788289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median37
Q339
95-th percentile46
Maximum55
Range55
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.021244
Coefficient of variation (CV)0.13664444
Kurtosis-0.018322564
Mean36.746787
Median Absolute Deviation (MAD)4
Skewness0.63175574
Sum957805
Variance25.212891
MonotonicityNot monotonic
2025-05-15T14:19:49.847406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
38 3592
13.7%
31 3243
12.4%
37 3055
11.7%
32 2849
10.9%
36 1638
 
6.2%
30 1244
 
4.7%
33 1183
 
4.5%
35 1167
 
4.5%
39 1076
 
4.1%
34 1014
 
3.9%
Other values (18) 6004
22.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
29 115
 
0.4%
30 1244
 
4.7%
31 3243
12.4%
32 2849
10.9%
33 1183
 
4.5%
34 1014
 
3.9%
35 1167
 
4.5%
36 1638
6.2%
37 3055
11.7%
ValueCountFrequency (%)
55 3
 
< 0.1%
54 7
 
< 0.1%
53 7
 
< 0.1%
52 72
 
0.3%
51 93
 
0.4%
50 107
 
0.4%
49 117
 
0.4%
48 150
 
0.6%
47 536
2.0%
46 848
3.2%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct12473
Distinct (%)47.9%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean756.8752
Minimum-31.1
Maximum3000.8
Zeros26
Zeros (%)0.1%
Negative4843
Negative (%)18.5%
Memory size1.4 MiB
2025-05-15T14:19:49.916409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-31.1
5-th percentile-14
Q152.5
median323.5
Q31189.4
95-th percentile2903.22
Maximum3000.8
Range3031.9
Interquartile range (IQR)1136.9

Descriptive statistics

Standard deviation925.79043
Coefficient of variation (CV)1.2231745
Kurtosis0.16910102
Mean756.8752
Median Absolute Deviation (MAD)336.3
Skewness1.2135324
Sum19727952
Variance857087.93
MonotonicityNot monotonic
2025-05-15T14:19:49.995947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.2 232
 
0.9%
-13.1 227
 
0.9%
-13 227
 
0.9%
-13.3 218
 
0.8%
-12.9 218
 
0.8%
-12.8 207
 
0.8%
-13.6 206
 
0.8%
-13.4 189
 
0.7%
-13.7 176
 
0.7%
-13.5 173
 
0.7%
Other values (12463) 23992
91.5%
ValueCountFrequency (%)
-31.1 1
< 0.1%
-18.5 1
< 0.1%
-18.4 1
< 0.1%
-18.2 1
< 0.1%
-18.1 1
< 0.1%
-17.9 1
< 0.1%
-17.4 1
< 0.1%
-17.3 2
< 0.1%
-17.2 1
< 0.1%
-17.1 2
< 0.1%
ValueCountFrequency (%)
3000.8 1
 
< 0.1%
3000.6 13
 
< 0.1%
3000.5 31
 
0.1%
3000.4 95
0.4%
3000.3 81
0.3%
3000.2 38
 
0.1%
3000.1 24
 
0.1%
3000 24
 
0.1%
2999.9 21
 
0.1%
2999.8 14
 
0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.90812968
Minimum0
Maximum1
Zeros83
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:50.059157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.9
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.18258546
Coefficient of variation (CV)0.2010566
Kurtosis5.8337493
Mean0.90812968
Median Absolute Deviation (MAD)0
Skewness-2.336575
Sum23670.4
Variance0.033337451
MonotonicityNot monotonic
2025-05-15T14:19:50.111080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 19209
73.3%
0.7 4054
 
15.5%
0.9 770
 
2.9%
0.8 434
 
1.7%
0.4 368
 
1.4%
0.6 364
 
1.4%
0.5 202
 
0.8%
0.3 197
 
0.8%
0.2 193
 
0.7%
0.1 191
 
0.7%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 83
 
0.3%
0.1 191
 
0.7%
0.2 193
 
0.7%
0.3 197
 
0.8%
0.4 368
 
1.4%
0.5 202
 
0.8%
0.6 364
 
1.4%
0.7 4054
15.5%
0.8 434
 
1.7%
0.9 770
 
2.9%
ValueCountFrequency (%)
1 19209
73.3%
0.9 770
 
2.9%
0.8 434
 
1.7%
0.7 4054
 
15.5%
0.6 364
 
1.4%
0.5 202
 
0.8%
0.4 368
 
1.4%
0.3 197
 
0.8%
0.2 193
 
0.7%
0.1 191
 
0.7%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
50.0
25939 
49.9
 
109
0.0
 
10
50.1
 
6
11.9
 
1

Length

Max length4
Median length4
Mean length3.9996163
Min length3

Characters and Unicode

Total characters104250
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 25939
99.0%
49.9 109
 
0.4%
0.0 10
 
< 0.1%
50.1 6
 
< 0.1%
11.9 1
 
< 0.1%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:50.169057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:50.214483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 25939
99.5%
49.9 109
 
0.4%
0.0 10
 
< 0.1%
50.1 6
 
< 0.1%
11.9 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 51904
49.8%
. 26065
25.0%
5 25945
24.9%
9 219
 
0.2%
4 109
 
0.1%
1 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104250
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51904
49.8%
. 26065
25.0%
5 25945
24.9%
9 219
 
0.2%
4 109
 
0.1%
1 8
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104250
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51904
49.8%
. 26065
25.0%
5 25945
24.9%
9 219
 
0.2%
4 109
 
0.1%
1 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104250
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51904
49.8%
. 26065
25.0%
5 25945
24.9%
9 219
 
0.2%
4 109
 
0.1%
1 8
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct390
Distinct (%)1.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean575.97677
Minimum0
Maximum603.9
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:50.275236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile567.3
Q1571.8
median576.1
Q3579.9
95-th percentile586.4
Maximum603.9
Range603.9
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation13.046899
Coefficient of variation (CV)0.02265178
Kurtosis1504.0313
Mean575.97677
Median Absolute Deviation (MAD)4
Skewness-34.407972
Sum15012834
Variance170.22158
MonotonicityNot monotonic
2025-05-15T14:19:50.355974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
576.5 195
 
0.7%
576 188
 
0.7%
577.3 188
 
0.7%
577.2 187
 
0.7%
575.2 187
 
0.7%
577.6 186
 
0.7%
578.9 185
 
0.7%
578.6 185
 
0.7%
578.2 184
 
0.7%
576.4 183
 
0.7%
Other values (380) 24197
92.3%
ValueCountFrequency (%)
0 10
< 0.1%
136.9 1
 
< 0.1%
563.3 1
 
< 0.1%
563.4 1
 
< 0.1%
563.6 5
< 0.1%
563.8 1
 
< 0.1%
563.9 6
< 0.1%
564 5
< 0.1%
564.1 6
< 0.1%
564.2 12
< 0.1%
ValueCountFrequency (%)
603.9 1
< 0.1%
603.4 1
< 0.1%
603.1 2
< 0.1%
603 1
< 0.1%
602.9 1
< 0.1%
602.8 1
< 0.1%
602.7 2
< 0.1%
602.6 1
< 0.1%
602.5 1
< 0.1%
602.4 1
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct394
Distinct (%)1.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean574.15529
Minimum0
Maximum601.2
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:50.436300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.6
Q1570.1
median574.2
Q3578.1
95-th percentile584.4
Maximum601.2
Range601.2
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.974038
Coefficient of variation (CV)0.022596741
Kurtosis1518.6045
Mean574.15529
Median Absolute Deviation (MAD)4
Skewness-34.662961
Sum14965358
Variance168.32567
MonotonicityNot monotonic
2025-05-15T14:19:50.515772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573 202
 
0.8%
575 192
 
0.7%
574 186
 
0.7%
570.4 184
 
0.7%
577.4 184
 
0.7%
572 184
 
0.7%
571.7 183
 
0.7%
574.6 183
 
0.7%
577.1 183
 
0.7%
574.3 182
 
0.7%
Other values (384) 24202
92.3%
ValueCountFrequency (%)
0 10
< 0.1%
136.8 1
 
< 0.1%
559.6 1
 
< 0.1%
560.4 1
 
< 0.1%
560.6 1
 
< 0.1%
560.7 1
 
< 0.1%
560.8 2
 
< 0.1%
561 1
 
< 0.1%
561.1 2
 
< 0.1%
561.2 3
 
< 0.1%
ValueCountFrequency (%)
601.2 1
 
< 0.1%
600.9 2
< 0.1%
600.5 1
 
< 0.1%
600.4 2
< 0.1%
600.3 1
 
< 0.1%
600.2 2
< 0.1%
600.1 2
< 0.1%
600 4
< 0.1%
599.9 1
 
< 0.1%
599.8 2
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct408
Distinct (%)1.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean572.85311
Minimum0
Maximum601.6
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:50.595240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile563.9
Q1568.6
median572.9
Q3577
95-th percentile583.4
Maximum601.6
Range601.6
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation13.045454
Coefficient of variation (CV)0.022772773
Kurtosis1472.2906
Mean572.85311
Median Absolute Deviation (MAD)4.2
Skewness-33.8674
Sum14931416
Variance170.18387
MonotonicityNot monotonic
2025-05-15T14:19:50.675105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573.7 198
 
0.8%
573.6 192
 
0.7%
575.9 188
 
0.7%
574.2 184
 
0.7%
572.6 181
 
0.7%
574.1 180
 
0.7%
575.3 178
 
0.7%
573 175
 
0.7%
575.8 174
 
0.7%
573.4 173
 
0.7%
Other values (398) 24242
92.5%
ValueCountFrequency (%)
0 10
< 0.1%
136.1 1
 
< 0.1%
556.6 2
 
< 0.1%
557.1 1
 
< 0.1%
557.3 1
 
< 0.1%
557.4 1
 
< 0.1%
557.5 1
 
< 0.1%
557.8 1
 
< 0.1%
558.2 3
 
< 0.1%
558.8 3
 
< 0.1%
ValueCountFrequency (%)
601.6 1
< 0.1%
600.8 1
< 0.1%
600.6 2
< 0.1%
600.5 1
< 0.1%
600.2 2
< 0.1%
600.1 1
< 0.1%
600 1
< 0.1%
599.7 1
< 0.1%
599.6 1
< 0.1%
599.5 1
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9811
Distinct (%)37.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean434.88051
Minimum0
Maximum1757.6
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:50.755231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.6
Q129.8
median181.3
Q3673.5
95-th percentile1671.96
Maximum1757.6
Range1757.6
Interquartile range (IQR)643.7

Descriptive statistics

Standard deviation528.63616
Coefficient of variation (CV)1.2155895
Kurtosis0.24329007
Mean434.88051
Median Absolute Deviation (MAD)168.6
Skewness1.247382
Sum11335160
Variance279456.19
MonotonicityNot monotonic
2025-05-15T14:19:50.834906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.8 434
 
1.7%
11.9 295
 
1.1%
11.7 294
 
1.1%
12.8 252
 
1.0%
12 195
 
0.7%
10.9 184
 
0.7%
10.8 167
 
0.6%
12.9 158
 
0.6%
12.7 155
 
0.6%
11.6 143
 
0.5%
Other values (9801) 23788
90.8%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 6
 
< 0.1%
1.3 1
 
< 0.1%
1.5 1
 
< 0.1%
1.7 4
 
< 0.1%
1.8 7
 
< 0.1%
1.9 11
 
< 0.1%
2 51
0.2%
2.1 6
 
< 0.1%
2.2 3
 
< 0.1%
ValueCountFrequency (%)
1757.6 1
< 0.1%
1756.9 1
< 0.1%
1756.2 1
< 0.1%
1755.7 1
< 0.1%
1755.6 1
< 0.1%
1755.4 2
< 0.1%
1754.6 1
< 0.1%
1753.8 1
< 0.1%
1753.1 1
< 0.1%
1752.7 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9973
Distinct (%)38.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean445.93864
Minimum0
Maximum1794.9
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:50.910508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.7
Q133
median188.1
Q3696.3
95-th percentile1694.18
Maximum1794.9
Range1794.9
Interquartile range (IQR)663.3

Descriptive statistics

Standard deviation537.1511
Coefficient of variation (CV)1.2045404
Kurtosis0.19687908
Mean445.93864
Median Absolute Deviation (MAD)176.3
Skewness1.2278938
Sum11623391
Variance288531.31
MonotonicityNot monotonic
2025-05-15T14:19:50.989964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.8 594
 
2.3%
10.7 558
 
2.1%
10.9 261
 
1.0%
11.8 261
 
1.0%
11.9 232
 
0.9%
11 160
 
0.6%
12 145
 
0.6%
10.6 143
 
0.5%
11.7 140
 
0.5%
11.2 136
 
0.5%
Other values (9963) 23435
89.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 65
0.2%
1.1 11
 
< 0.1%
1.2 4
 
< 0.1%
1.3 2
 
< 0.1%
1.4 2
 
< 0.1%
1.5 3
 
< 0.1%
1.6 4
 
< 0.1%
1.7 2
 
< 0.1%
1.8 6
 
< 0.1%
ValueCountFrequency (%)
1794.9 1
< 0.1%
1791 1
< 0.1%
1789.7 1
< 0.1%
1786.3 1
< 0.1%
1786 1
< 0.1%
1784.2 1
< 0.1%
1783.4 1
< 0.1%
1783.3 1
< 0.1%
1783 1
< 0.1%
1782.1 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10011
Distinct (%)38.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean445.92891
Minimum0
Maximum1773.1
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:51.067556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q138.4
median193.5
Q3693.4
95-th percentile1683.68
Maximum1773.1
Range1773.1
Interquartile range (IQR)655

Descriptive statistics

Standard deviation531.85629
Coefficient of variation (CV)1.192693
Kurtosis0.19818435
Mean445.92891
Median Absolute Deviation (MAD)181.8
Skewness1.2255369
Sum11623137
Variance282871.11
MonotonicityNot monotonic
2025-05-15T14:19:51.287152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 404
 
1.5%
10.7 341
 
1.3%
10.8 335
 
1.3%
9.9 290
 
1.1%
9.7 280
 
1.1%
11.8 264
 
1.0%
11.7 167
 
0.6%
10.6 164
 
0.6%
10 162
 
0.6%
10.9 138
 
0.5%
Other values (10001) 23520
89.7%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 70
0.3%
1.1 6
 
< 0.1%
1.2 12
 
< 0.1%
1.3 7
 
< 0.1%
1.4 8
 
< 0.1%
1.5 2
 
< 0.1%
1.6 2
 
< 0.1%
1.7 3
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
1773.1 1
< 0.1%
1772.5 1
< 0.1%
1771.4 1
< 0.1%
1770.6 1
< 0.1%
1770.3 1
< 0.1%
1770.1 1
< 0.1%
1769.8 1
< 0.1%
1769.4 1
< 0.1%
1769.3 1
< 0.1%
1769.2 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct12969
Distinct (%)49.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1021.8056
Minimum-3276.8
Maximum3211.9
Zeros11
Zeros (%)< 0.1%
Negative4314
Negative (%)16.5%
Memory size1.4 MiB
2025-05-15T14:19:51.365003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-11.9
Q1170.5
median572.7
Q31692.5
95-th percentile3151.7
Maximum3211.9
Range6488.7
Interquartile range (IQR)1522

Descriptive statistics

Standard deviation1073.5742
Coefficient of variation (CV)1.0506639
Kurtosis-0.58520973
Mean1021.8056
Median Absolute Deviation (MAD)574.4
Skewness0.89995934
Sum26633362
Variance1152561.6
MonotonicityNot monotonic
2025-05-15T14:19:51.441710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.1 308
 
1.2%
-11 307
 
1.2%
-11.2 284
 
1.1%
-11.3 245
 
0.9%
-10.9 235
 
0.9%
-11.4 215
 
0.8%
-10.8 175
 
0.7%
-11.5 160
 
0.6%
-11.9 158
 
0.6%
-12.5 155
 
0.6%
Other values (12959) 23823
90.9%
ValueCountFrequency (%)
-3276.8 2
< 0.1%
-17.1 1
 
< 0.1%
-16.1 1
 
< 0.1%
-15.9 1
 
< 0.1%
-15.2 1
 
< 0.1%
-15.1 1
 
< 0.1%
-14.1 2
< 0.1%
-13.8 2
< 0.1%
-13.6 2
< 0.1%
-13.4 4
< 0.1%
ValueCountFrequency (%)
3211.9 1
< 0.1%
3175.8 1
< 0.1%
3173.4 1
< 0.1%
3172.8 1
< 0.1%
3172.3 1
< 0.1%
3171.6 1
< 0.1%
3170.8 1
< 0.1%
3170.6 1
< 0.1%
3170.1 1
< 0.1%
3169.9 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct10980
Distinct (%)42.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean456.92237
Minimum-102.6
Maximum3276.7
Zeros21
Zeros (%)0.1%
Negative9003
Negative (%)34.4%
Memory size1.4 MiB
2025-05-15T14:19:51.519951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.6
5-th percentile-54.68
Q1-31.7
median106.3
Q3612.8
95-th percentile2149.44
Maximum3276.7
Range3379.3
Interquartile range (IQR)644.5

Descriptive statistics

Standard deviation727.12951
Coefficient of variation (CV)1.5913633
Kurtosis1.9317757
Mean456.92237
Median Absolute Deviation (MAD)141.9
Skewness1.6890571
Sum11909682
Variance528717.33
MonotonicityNot monotonic
2025-05-15T14:19:51.598678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-32.1 222
 
0.8%
-100.1 208
 
0.8%
-32.2 208
 
0.8%
-31.5 193
 
0.7%
-32 192
 
0.7%
-31.8 190
 
0.7%
-33 187
 
0.7%
-32.3 184
 
0.7%
-31.7 183
 
0.7%
-31.4 173
 
0.7%
Other values (10970) 24125
92.1%
ValueCountFrequency (%)
-102.6 2
< 0.1%
-102.5 3
< 0.1%
-102.4 1
 
< 0.1%
-102.3 1
 
< 0.1%
-102.2 1
 
< 0.1%
-102 3
< 0.1%
-101.9 4
< 0.1%
-101.8 2
< 0.1%
-101.7 3
< 0.1%
-101.6 4
< 0.1%
ValueCountFrequency (%)
3276.7 2
< 0.1%
2995.7 1
< 0.1%
2995.5 1
< 0.1%
2994.9 2
< 0.1%
2994.7 1
< 0.1%
2994.3 1
< 0.1%
2994.2 1
< 0.1%
2994.1 1
< 0.1%
2993.7 1
< 0.1%
2993.5 1
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean33.929254
Minimum0
Maximum54
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:51.668792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q130
median34
Q337
95-th percentile43
Maximum54
Range54
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.0428624
Coefficient of variation (CV)0.14862875
Kurtosis0.3397679
Mean33.929254
Median Absolute Deviation (MAD)4
Skewness0.45128418
Sum884366
Variance25.430461
MonotonicityNot monotonic
2025-05-15T14:19:51.737174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
36 2321
 
8.9%
30 2140
 
8.2%
32 1870
 
7.1%
35 1775
 
6.8%
37 1767
 
6.7%
34 1743
 
6.7%
29 1691
 
6.5%
33 1630
 
6.2%
31 1566
 
6.0%
38 1410
 
5.4%
Other values (26) 8152
31.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
20 53
 
0.2%
21 15
 
0.1%
22 11
 
< 0.1%
23 3
 
< 0.1%
24 32
 
0.1%
25 298
 
1.1%
26 764
2.9%
27 1172
4.5%
28 1393
5.3%
ValueCountFrequency (%)
54 3
 
< 0.1%
53 12
 
< 0.1%
52 31
 
0.1%
51 37
 
0.1%
50 60
 
0.2%
49 41
 
0.2%
48 74
 
0.3%
47 151
0.6%
46 223
0.9%
45 124
0.5%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4267
Distinct (%)16.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean113.14693
Minimum0
Maximum1501.3
Zeros58
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:51.807862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q123.2
median71.7
Q3168.1
95-th percentile344.58
Maximum1501.3
Range1501.3
Interquartile range (IQR)144.9

Descriptive statistics

Standard deviation128.06838
Coefficient of variation (CV)1.1318768
Kurtosis19.757734
Mean113.14693
Median Absolute Deviation (MAD)62.8
Skewness3.0091065
Sum2949174.7
Variance16401.511
MonotonicityNot monotonic
2025-05-15T14:19:51.885790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.6 700
 
2.7%
4.7 664
 
2.5%
4.5 662
 
2.5%
4.4 506
 
1.9%
4.8 464
 
1.8%
4.3 303
 
1.2%
4.9 249
 
1.0%
4.2 169
 
0.6%
5 164
 
0.6%
5.1 80
 
0.3%
Other values (4257) 22104
84.3%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 58
0.2%
0.1 41
0.2%
0.2 7
 
< 0.1%
0.3 16
 
0.1%
0.4 5
 
< 0.1%
0.5 8
 
< 0.1%
0.6 8
 
< 0.1%
0.7 5
 
< 0.1%
0.8 1
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
1501.3 1
< 0.1%
1501.1 1
< 0.1%
1500.7 1
< 0.1%
1500.6 1
< 0.1%
1496.1 1
< 0.1%
1487.7 1
< 0.1%
1487 1
< 0.1%
1485.9 1
< 0.1%
1479.3 1
< 0.1%
1476.9 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct374
Distinct (%)1.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-1.7186188
Minimum-23.3
Maximum33.2
Zeros18768
Zeros (%)71.6%
Negative4836
Negative (%)18.5%
Memory size1.4 MiB
2025-05-15T14:19:51.962588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.3
5-th percentile-13.4
Q10
median0
Q30
95-th percentile1.6
Maximum33.2
Range56.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4692846
Coefficient of variation (CV)-3.1823721
Kurtosis6.9449379
Mean-1.7186188
Median Absolute Deviation (MAD)0
Skewness-0.095845145
Sum-44795.8
Variance29.913074
MonotonicityNot monotonic
2025-05-15T14:19:52.037043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18768
71.6%
0.6 248
 
0.9%
0.5 202
 
0.8%
-11.9 160
 
0.6%
-12.2 153
 
0.6%
-11.8 152
 
0.6%
-12.3 151
 
0.6%
-12.1 148
 
0.6%
-12.4 140
 
0.5%
-12 139
 
0.5%
Other values (364) 5804
 
22.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-23.3 1
< 0.1%
-22.9 1
< 0.1%
-19.6 1
< 0.1%
-19.4 1
< 0.1%
-19.2 1
< 0.1%
-18.8 2
< 0.1%
-18.6 1
< 0.1%
-18.5 1
< 0.1%
-18.4 2
< 0.1%
-17.8 1
< 0.1%
ValueCountFrequency (%)
33.2 3
 
< 0.1%
33.1 1
 
< 0.1%
32.9 1
 
< 0.1%
32.7 2
 
< 0.1%
32.6 3
 
< 0.1%
32.5 4
< 0.1%
32.4 8
< 0.1%
32.3 7
< 0.1%
32.2 6
< 0.1%
32.1 4
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct300
Distinct (%)1.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.664508
Minimum-22.4
Maximum44.2
Zeros14
Zeros (%)0.1%
Negative3905
Negative (%)14.9%
Memory size1.4 MiB
2025-05-15T14:19:52.112181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-22.4
5-th percentile-12.4
Q10.3
median0.6
Q32
95-th percentile30.7
Maximum44.2
Range66.6
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation11.398489
Coefficient of variation (CV)4.2778965
Kurtosis1.8039086
Mean2.664508
Median Absolute Deviation (MAD)0.5
Skewness1.4394928
Sum69450.4
Variance129.92556
MonotonicityNot monotonic
2025-05-15T14:19:52.191302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 2738
 
10.4%
0.3 2667
 
10.2%
0.2 1813
 
6.9%
0.5 1607
 
6.1%
0.4 1248
 
4.8%
0.7 1108
 
4.2%
0.8 634
 
2.4%
0.9 545
 
2.1%
1.1 388
 
1.5%
1 381
 
1.5%
Other values (290) 12936
49.4%
ValueCountFrequency (%)
-22.4 2
< 0.1%
-18.9 1
 
< 0.1%
-18.8 1
 
< 0.1%
-18.2 1
 
< 0.1%
-17.1 1
 
< 0.1%
-17 1
 
< 0.1%
-16.3 1
 
< 0.1%
-16.2 2
< 0.1%
-16 3
< 0.1%
-15.9 1
 
< 0.1%
ValueCountFrequency (%)
44.2 1
 
< 0.1%
44.1 1
 
< 0.1%
43.8 1
 
< 0.1%
43.4 1
 
< 0.1%
42.8 1
 
< 0.1%
34.7 1
 
< 0.1%
34.6 1
 
< 0.1%
34.3 1
 
< 0.1%
34.2 1
 
< 0.1%
34.1 5
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct592
Distinct (%)2.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-5.9897525
Minimum-74.8
Maximum28.3
Zeros24
Zeros (%)0.1%
Negative25819
Negative (%)98.5%
Memory size1.4 MiB
2025-05-15T14:19:52.271457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-74.8
5-th percentile-24.6
Q1-5.5
median-1.1
Q3-0.6
95-th percentile-0.3
Maximum28.3
Range103.1
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation9.5259075
Coefficient of variation (CV)-1.5903675
Kurtosis4.7901106
Mean-5.9897525
Median Absolute Deviation (MAD)0.8
Skewness-1.7415396
Sum-156122.9
Variance90.742914
MonotonicityNot monotonic
2025-05-15T14:19:52.348197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3 2837
 
10.8%
-0.6 2342
 
8.9%
-0.7 2334
 
8.9%
-0.4 1920
 
7.3%
-0.5 1225
 
4.7%
-0.8 990
 
3.8%
-0.9 607
 
2.3%
-1 497
 
1.9%
-1.1 394
 
1.5%
-1.2 341
 
1.3%
Other values (582) 12578
48.0%
ValueCountFrequency (%)
-74.8 1
< 0.1%
-72.9 1
< 0.1%
-72.3 1
< 0.1%
-67.2 1
< 0.1%
-65.7 1
< 0.1%
-63.8 1
< 0.1%
-63.1 2
< 0.1%
-61.8 1
< 0.1%
-61.6 1
< 0.1%
-61.4 1
< 0.1%
ValueCountFrequency (%)
28.3 2
 
< 0.1%
28.2 1
 
< 0.1%
27.9 1
 
< 0.1%
27.8 3
 
< 0.1%
27.7 7
< 0.1%
27.6 4
< 0.1%
27.5 8
< 0.1%
27.4 3
 
< 0.1%
27.3 2
 
< 0.1%
27.2 3
 
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct209
Distinct (%)0.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1.5028659
Minimum0
Maximum21.3
Zeros9750
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:52.423955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q31
95-th percentile11.2
Maximum21.3
Range21.3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5167957
Coefficient of variation (CV)2.3400595
Kurtosis8.7877703
Mean1.5028659
Median Absolute Deviation (MAD)0.2
Skewness3.0609953
Sum39172.2
Variance12.367852
MonotonicityNot monotonic
2025-05-15T14:19:52.502778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9750
37.2%
0.1 2502
 
9.5%
0.2 1960
 
7.5%
0.3 1824
 
7.0%
1.1 1390
 
5.3%
0.4 1358
 
5.2%
0.5 871
 
3.3%
1.2 769
 
2.9%
1 750
 
2.9%
0.6 404
 
1.5%
Other values (199) 4487
17.1%
ValueCountFrequency (%)
0 9750
37.2%
0.1 2502
 
9.5%
0.2 1960
 
7.5%
0.3 1824
 
7.0%
0.4 1358
 
5.2%
0.5 871
 
3.3%
0.6 404
 
1.5%
0.7 122
 
0.5%
0.8 42
 
0.2%
0.9 113
 
0.4%
ValueCountFrequency (%)
21.3 1
 
< 0.1%
21.2 1
 
< 0.1%
21.1 1
 
< 0.1%
20.8 1
 
< 0.1%
20.5 2
< 0.1%
20.4 1
 
< 0.1%
20.2 3
< 0.1%
20.1 1
 
< 0.1%
20 1
 
< 0.1%
19.9 3
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2915
Distinct (%)11.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean793.02003
Minimum0
Maximum3000
Zeros3498
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:52.580137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median344
Q31262
95-th percentile2958
Maximum3000
Range3000
Interquartile range (IQR)1196

Descriptive statistics

Standard deviation945.9829
Coefficient of variation (CV)1.1928865
Kurtosis0.032238426
Mean793.02003
Median Absolute Deviation (MAD)342
Skewness1.1748323
Sum20670067
Variance894883.65
MonotonicityNot monotonic
2025-05-15T14:19:52.659285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3498
 
13.3%
3000 500
 
1.9%
2999 142
 
0.5%
25 80
 
0.3%
22 79
 
0.3%
2998 74
 
0.3%
24 73
 
0.3%
23 70
 
0.3%
19 68
 
0.3%
27 65
 
0.2%
Other values (2905) 21416
81.7%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 3498
13.3%
1 43
 
0.2%
2 39
 
0.1%
3 28
 
0.1%
4 33
 
0.1%
5 28
 
0.1%
6 35
 
0.1%
7 30
 
0.1%
8 35
 
0.1%
9 44
 
0.2%
ValueCountFrequency (%)
3000 500
1.9%
2999 142
 
0.5%
2998 74
 
0.3%
2997 39
 
0.1%
2996 33
 
0.1%
2995 40
 
0.2%
2994 25
 
0.1%
2993 25
 
0.1%
2992 29
 
0.1%
2991 21
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3030
Distinct (%)11.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1064.6095
Minimum0
Maximum3150
Zeros3432
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:52.887117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1188
median616
Q31799
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1611

Descriptive statistics

Standard deviation1081.1341
Coefficient of variation (CV)1.0155217
Kurtosis-0.72417869
Mean1064.6095
Median Absolute Deviation (MAD)552
Skewness0.85313162
Sum27749047
Variance1168851
MonotonicityNot monotonic
2025-05-15T14:19:52.963661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3432
 
13.1%
3150 2285
 
8.7%
3000 231
 
0.9%
255 40
 
0.2%
182 37
 
0.1%
180 35
 
0.1%
24 35
 
0.1%
178 35
 
0.1%
196 34
 
0.1%
233 34
 
0.1%
Other values (3020) 19867
75.8%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 3432
13.1%
18 2
 
< 0.1%
21 1
 
< 0.1%
22 32
 
0.1%
23 30
 
0.1%
24 35
 
0.1%
25 27
 
0.1%
26 9
 
< 0.1%
27 15
 
0.1%
28 10
 
< 0.1%
ValueCountFrequency (%)
3150 2285
8.7%
3149 6
 
< 0.1%
3148 3
 
< 0.1%
3147 8
 
< 0.1%
3146 4
 
< 0.1%
3145 8
 
< 0.1%
3144 3
 
< 0.1%
3143 1
 
< 0.1%
3141 5
 
< 0.1%
3140 5
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2806
Distinct (%)10.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean488.53428
Minimum-100
Maximum3000
Zeros3979
Zeros (%)15.2%
Negative4185
Negative (%)16.0%
Memory size1.4 MiB
2025-05-15T14:19:53.040325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-56
Q10
median123
Q3658
95-th percentile2229
Maximum3000
Range3100
Interquartile range (IQR)658

Descriptive statistics

Standard deviation752.40231
Coefficient of variation (CV)1.5401218
Kurtosis1.9286729
Mean488.53428
Median Absolute Deviation (MAD)144
Skewness1.6902893
Sum12733646
Variance566109.24
MonotonicityNot monotonic
2025-05-15T14:19:53.118459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3979
 
15.2%
-100 742
 
2.8%
3000 266
 
1.0%
-45 99
 
0.4%
22 83
 
0.3%
-18 81
 
0.3%
23 76
 
0.3%
-17 74
 
0.3%
-23 73
 
0.3%
-5 72
 
0.3%
Other values (2796) 20520
78.3%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-100 742
2.8%
-99 16
 
0.1%
-98 7
 
< 0.1%
-97 4
 
< 0.1%
-96 9
 
< 0.1%
-95 8
 
< 0.1%
-94 5
 
< 0.1%
-93 4
 
< 0.1%
-92 8
 
< 0.1%
-91 9
 
< 0.1%
ValueCountFrequency (%)
3000 266
1.0%
2998 2
 
< 0.1%
2997 1
 
< 0.1%
2996 3
 
< 0.1%
2995 2
 
< 0.1%
2993 4
 
< 0.1%
2990 4
 
< 0.1%
2989 1
 
< 0.1%
2988 4
 
< 0.1%
2987 1
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct633
Distinct (%)2.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean110.78592
Minimum0
Maximum1110
Zeros3903
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:53.195759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median73
Q3168
95-th percentile341
Maximum1110
Range1110
Interquartile range (IQR)144

Descriptive statistics

Standard deviation114.79418
Coefficient of variation (CV)1.0361803
Kurtosis2.7475726
Mean110.78592
Median Absolute Deviation (MAD)62
Skewness1.5018543
Sum2887635
Variance13177.705
MonotonicityNot monotonic
2025-05-15T14:19:53.275467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3903
 
14.9%
26 200
 
0.8%
36 191
 
0.7%
30 182
 
0.7%
29 173
 
0.7%
19 173
 
0.7%
32 168
 
0.6%
24 168
 
0.6%
28 165
 
0.6%
15 165
 
0.6%
Other values (623) 20577
78.5%
ValueCountFrequency (%)
0 3903
14.9%
1 76
 
0.3%
2 35
 
0.1%
3 36
 
0.1%
4 40
 
0.2%
5 35
 
0.1%
6 50
 
0.2%
7 74
 
0.3%
8 82
 
0.3%
9 113
 
0.4%
ValueCountFrequency (%)
1110 1
< 0.1%
930 1
< 0.1%
859 1
< 0.1%
828 1
< 0.1%
823 1
< 0.1%
798 1
< 0.1%
792 1
< 0.1%
789 1
< 0.1%
782 1
< 0.1%
762 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.343545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.378709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.418675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.452614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.494244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.527757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.567223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.602913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.643161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.676820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.718508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.752469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.792133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.827507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:53.867087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:53.900741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Skewed 

Distinct18
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2995.7702
Minimum0
Maximum3000
Zeros21
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:53.936601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation89.666615
Coefficient of variation (CV)0.029931073
Kurtosis1005.4161
Mean2995.7702
Median Absolute Deviation (MAD)0
Skewness-30.67837
Sum78084750
Variance8040.1018
MonotonicityNot monotonic
2025-05-15T14:19:53.991430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3000 25826
98.5%
2910 72
 
0.3%
2955 50
 
0.2%
2865 32
 
0.1%
0 21
 
0.1%
2370 16
 
0.1%
2325 12
 
< 0.1%
2460 5
 
< 0.1%
2505 5
 
< 0.1%
2775 5
 
< 0.1%
Other values (8) 21
 
0.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 21
0.1%
2280 3
 
< 0.1%
2325 12
< 0.1%
2370 16
0.1%
2415 5
 
< 0.1%
2460 5
 
< 0.1%
2505 5
 
< 0.1%
2550 3
 
< 0.1%
2595 3
 
< 0.1%
2640 2
 
< 0.1%
ValueCountFrequency (%)
3000 25826
98.5%
2955 50
 
0.2%
2910 72
 
0.3%
2865 32
 
0.1%
2820 1
 
< 0.1%
2775 5
 
< 0.1%
2730 2
 
< 0.1%
2685 2
 
< 0.1%
2640 2
 
< 0.1%
2595 3
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
11.0
26059 
0.0
 
6

Length

Max length4
Median length4
Mean length3.9997698
Min length3

Characters and Unicode

Total characters104254
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26059
99.4%
0.0 6
 
< 0.1%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:54.055172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:54.092795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26059
> 99.9%
0.0 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104254
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104254
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104254
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
0.0
26065 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:54.135580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:54.170734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52130
66.7%
. 26065
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
1.0
26059 
0.0
 
6

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78195
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26059
99.4%
0.0 6
 
< 0.1%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:54.210695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:54.246453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26059
> 99.9%
0.0 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 26071
33.3%
. 26065
33.3%
1 26059
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26071
33.3%
. 26065
33.3%
1 26059
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26071
33.3%
. 26065
33.3%
1 26059
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78195
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26071
33.3%
. 26065
33.3%
1 26059
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.5 MiB
11.0
26059 
0.0
 
6

Length

Max length4
Median length4
Mean length3.9997698
Min length3

Characters and Unicode

Total characters104254
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26059
99.4%
0.0 6
 
< 0.1%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:54.292369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:54.329860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26059
> 99.9%
0.0 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104254
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104254
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104254
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52118
50.0%
0 26071
25.0%
. 26065
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20.28567
Minimum0
Maximum40
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:54.376492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q116
median19
Q324
95-th percentile29
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2956517
Coefficient of variation (CV)0.26105381
Kurtosis0.19319376
Mean20.28567
Median Absolute Deviation (MAD)4
Skewness0.58721584
Sum528746
Variance28.043926
MonotonicityNot monotonic
2025-05-15T14:19:54.443793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
18 2317
 
8.8%
16 2276
 
8.7%
17 2214
 
8.4%
19 1697
 
6.5%
15 1670
 
6.4%
20 1546
 
5.9%
25 1513
 
5.8%
21 1471
 
5.6%
27 1433
 
5.5%
23 1421
 
5.4%
Other values (23) 8507
32.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
9 66
 
0.3%
10 215
 
0.8%
11 200
 
0.8%
12 564
 
2.2%
13 774
 
3.0%
14 1207
4.6%
15 1670
6.4%
16 2276
8.7%
17 2214
8.4%
ValueCountFrequency (%)
40 32
 
0.1%
39 31
 
0.1%
38 32
 
0.1%
37 59
 
0.2%
36 63
 
0.2%
35 119
0.5%
34 147
0.6%
33 134
0.5%
32 165
0.6%
31 166
0.6%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean32.662383
Minimum0
Maximum49
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:54.512182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q130
median33
Q335
95-th percentile41
Maximum49
Range49
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.2464054
Coefficient of variation (CV)0.13000905
Kurtosis0.96661661
Mean32.662383
Median Absolute Deviation (MAD)3
Skewness0.61527585
Sum851345
Variance18.031958
MonotonicityNot monotonic
2025-05-15T14:19:54.575942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
34 3133
12.0%
35 2531
9.7%
33 2315
8.8%
30 2241
8.6%
29 2178
8.3%
32 2136
8.2%
31 2038
7.8%
28 1814
 
6.9%
27 1592
 
6.1%
36 1475
 
5.6%
Other values (21) 4612
17.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
20 5
 
< 0.1%
21 45
 
0.2%
22 12
 
< 0.1%
23 25
 
0.1%
24 105
 
0.4%
25 250
 
1.0%
26 482
 
1.8%
27 1592
6.1%
28 1814
6.9%
ValueCountFrequency (%)
49 3
 
< 0.1%
48 15
 
0.1%
47 58
 
0.2%
46 166
0.6%
45 203
0.8%
44 160
0.6%
43 178
0.7%
42 292
1.1%
41 248
0.9%
40 334
1.3%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean24.76267
Minimum0
Maximum45
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:54.645234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q121
median24
Q328
95-th percentile36
Maximum45
Range45
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6834259
Coefficient of variation (CV)0.22951588
Kurtosis0.36622271
Mean24.76267
Median Absolute Deviation (MAD)4
Skewness0.7408872
Sum645439
Variance32.30133
MonotonicityNot monotonic
2025-05-15T14:19:54.858452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
21 2506
 
9.6%
22 2008
 
7.7%
20 1959
 
7.5%
25 1749
 
6.7%
23 1685
 
6.4%
19 1667
 
6.4%
24 1589
 
6.1%
28 1490
 
5.7%
26 1489
 
5.7%
27 1387
 
5.3%
Other values (27) 8536
32.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
10 2
 
< 0.1%
11 13
 
< 0.1%
12 12
 
< 0.1%
13 67
 
0.3%
14 101
 
0.4%
15 214
 
0.8%
16 402
 
1.5%
17 685
2.6%
18 1160
4.4%
ValueCountFrequency (%)
45 10
 
< 0.1%
44 51
 
0.2%
43 65
 
0.2%
42 67
 
0.3%
41 78
 
0.3%
40 160
0.6%
39 169
0.6%
38 279
1.1%
37 257
1.0%
36 340
1.3%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean43.659927
Minimum0
Maximum60
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:54.925751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q140
median44
Q346
95-th percentile51
Maximum60
Range60
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5125311
Coefficient of variation (CV)0.10335636
Kurtosis1.1575398
Mean43.659927
Median Absolute Deviation (MAD)3
Skewness0.1433173
Sum1137996
Variance20.362937
MonotonicityNot monotonic
2025-05-15T14:19:54.994103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
46 2754
10.5%
45 2527
9.6%
44 2167
 
8.3%
41 2033
 
7.8%
47 1988
 
7.6%
42 1958
 
7.5%
40 1844
 
7.0%
43 1775
 
6.8%
39 1665
 
6.4%
48 1428
 
5.4%
Other values (26) 5926
22.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
26 5
 
< 0.1%
27 40
 
0.2%
28 15
 
0.1%
29 2
 
< 0.1%
30 4
 
< 0.1%
31 4
 
< 0.1%
32 5
 
< 0.1%
33 41
 
0.2%
34 133
0.5%
ValueCountFrequency (%)
60 7
 
< 0.1%
59 15
 
0.1%
58 37
 
0.1%
57 130
 
0.5%
56 239
0.9%
55 118
 
0.5%
54 154
0.6%
53 223
0.9%
52 236
0.9%
51 376
1.4%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct103
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean74.927604
Minimum0
Maximum122
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:55.068870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q167
median78
Q384
95-th percentile108
Maximum122
Range122
Interquartile range (IQR)17

Descriptive statistics

Standard deviation19.54991
Coefficient of variation (CV)0.26091733
Kurtosis0.048407603
Mean74.927604
Median Absolute Deviation (MAD)8
Skewness-0.44903842
Sum1952988
Variance382.19899
MonotonicityNot monotonic
2025-05-15T14:19:55.150825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 1256
 
4.8%
82 1225
 
4.7%
80 1220
 
4.7%
79 1196
 
4.6%
78 1046
 
4.0%
77 931
 
3.6%
76 902
 
3.4%
83 891
 
3.4%
75 830
 
3.2%
74 780
 
3.0%
Other values (93) 15788
60.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
21 17
 
0.1%
22 18
 
0.1%
23 9
 
< 0.1%
24 7
 
< 0.1%
25 4
 
< 0.1%
26 3
 
< 0.1%
27 2
 
< 0.1%
28 18
 
0.1%
29 50
0.2%
ValueCountFrequency (%)
122 3
 
< 0.1%
121 3
 
< 0.1%
120 17
 
0.1%
119 17
 
0.1%
118 31
 
0.1%
117 61
 
0.2%
116 31
 
0.1%
115 50
 
0.2%
114 123
0.5%
113 153
0.6%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct41
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean35.880069
Minimum0
Maximum55
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:55.225061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median36
Q338
95-th percentile45
Maximum55
Range55
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3329632
Coefficient of variation (CV)0.14863302
Kurtosis0.096824533
Mean35.880069
Median Absolute Deviation (MAD)4
Skewness0.48306154
Sum935214
Variance28.440496
MonotonicityNot monotonic
2025-05-15T14:19:55.293504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
37 4331
16.5%
30 3264
12.5%
36 2885
11.0%
31 1959
 
7.5%
29 1948
 
7.4%
38 1346
 
5.1%
35 1061
 
4.0%
32 1058
 
4.0%
44 1039
 
4.0%
34 958
 
3.7%
Other values (31) 6216
23.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
16 11
< 0.1%
17 20
0.1%
18 11
< 0.1%
19 7
 
< 0.1%
20 6
 
< 0.1%
21 5
 
< 0.1%
22 1
 
< 0.1%
23 7
 
< 0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
55 5
 
< 0.1%
54 6
 
< 0.1%
53 4
 
< 0.1%
52 64
 
0.2%
51 103
 
0.4%
50 115
 
0.4%
49 99
 
0.4%
48 136
 
0.5%
47 192
 
0.7%
46 529
2.0%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean19.950393
Minimum0
Maximum40
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:55.359751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q116
median19
Q323
95-th percentile32
Maximum40
Range40
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.894278
Coefficient of variation (CV)0.29544671
Kurtosis0.21703675
Mean19.950393
Median Absolute Deviation (MAD)4
Skewness0.70989965
Sum520007
Variance34.742513
MonotonicityNot monotonic
2025-05-15T14:19:55.431554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
16 2431
 
9.3%
18 1819
 
6.9%
19 1729
 
6.6%
15 1717
 
6.6%
17 1696
 
6.5%
14 1685
 
6.4%
21 1517
 
5.8%
20 1510
 
5.8%
23 1406
 
5.4%
22 1231
 
4.7%
Other values (24) 9324
35.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
8 49
 
0.2%
9 188
 
0.7%
10 274
 
1.0%
11 350
 
1.3%
12 885
 
3.4%
13 1103
4.2%
14 1685
6.4%
15 1717
6.6%
16 2431
9.3%
ValueCountFrequency (%)
40 26
 
0.1%
39 54
 
0.2%
38 78
 
0.3%
37 71
 
0.3%
36 140
0.5%
35 154
0.6%
34 238
0.9%
33 242
0.9%
32 334
1.3%
31 215
0.8%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.6 MiB
999.0
26065 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130325
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:55.498857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:55.533777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78195
60.0%
. 26065
 
20.0%
0 26065
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct384
Distinct (%)1.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean8.1308536
Minimum-3276.8
Maximum88.9
Zeros204
Zeros (%)0.8%
Negative8561
Negative (%)32.7%
Memory size1.4 MiB
2025-05-15T14:19:55.582863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2.1
Q1-0.7
median1.9
Q315.5
95-th percentile41.1
Maximum88.9
Range3365.7
Interquartile range (IQR)16.2

Descriptive statistics

Standard deviation32.667029
Coefficient of variation (CV)4.0176629
Kurtosis7845.6254
Mean8.1308536
Median Absolute Deviation (MAD)3.3
Skewness-77.712918
Sum211930.7
Variance1067.1348
MonotonicityNot monotonic
2025-05-15T14:19:55.662470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4077
 
15.6%
0.9 816
 
3.1%
0.8 558
 
2.1%
0.7 468
 
1.8%
-2.3 462
 
1.8%
-1.3 450
 
1.7%
-1.1 443
 
1.7%
-1.4 443
 
1.7%
-0.9 433
 
1.7%
-0.8 403
 
1.5%
Other values (374) 17512
66.8%
ValueCountFrequency (%)
-3276.8 2
 
< 0.1%
-2.7 3
 
< 0.1%
-2.6 29
 
0.1%
-2.5 44
 
0.2%
-2.4 159
 
0.6%
-2.3 462
1.8%
-2.2 394
1.5%
-2.1 365
1.4%
-2 356
1.4%
-1.9 338
1.3%
ValueCountFrequency (%)
88.9 10
 
< 0.1%
88.8 197
0.8%
88.7 1
 
< 0.1%
88.6 6
 
< 0.1%
78.1 27
 
0.1%
78 399
1.5%
61.1 1
 
< 0.1%
59.8 1
 
< 0.1%
53.5 1
 
< 0.1%
52.3 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct222
Distinct (%)0.9%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.9192135
Minimum-3
Maximum3276.7
Zeros180
Zeros (%)0.7%
Negative20475
Negative (%)78.1%
Memory size1.4 MiB
2025-05-15T14:19:55.741748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.7
Q3-0.9
95-th percentile20
Maximum3276.7
Range3279.7
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation31.724156
Coefficient of variation (CV)10.867364
Kurtosis8701.9057
Mean2.9192135
Median Absolute Deviation (MAD)0.1
Skewness84.645413
Sum76089.3
Variance1006.4221
MonotonicityNot monotonic
2025-05-15T14:19:55.818492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 12929
49.3%
20 3626
 
13.8%
-2.7 1300
 
5.0%
-2.6 868
 
3.3%
-2.5 422
 
1.6%
-2.4 381
 
1.5%
78 338
 
1.3%
-1.3 337
 
1.3%
-2.3 301
 
1.1%
-1.2 299
 
1.1%
Other values (212) 5264
20.1%
ValueCountFrequency (%)
-3 3
 
< 0.1%
-2.8 12929
49.3%
-2.7 1300
 
5.0%
-2.6 868
 
3.3%
-2.5 422
 
1.6%
-2.4 381
 
1.5%
-2.3 301
 
1.1%
-2.2 231
 
0.9%
-2.1 218
 
0.8%
-2 237
 
0.9%
ValueCountFrequency (%)
3276.7 2
 
< 0.1%
88.8 138
0.5%
88.6 7
 
< 0.1%
78.2 7
 
< 0.1%
78 338
1.3%
76.8 2
 
< 0.1%
76.6 8
 
< 0.1%
76.5 1
 
< 0.1%
76.4 3
 
< 0.1%
61.5 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct377
Distinct (%)1.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.5052753
Minimum-2.7
Maximum88.8
Zeros366
Zeros (%)1.4%
Negative16778
Negative (%)64.0%
Memory size1.4 MiB
2025-05-15T14:19:55.898760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.5
Q1-2.4
median-1.2
Q34.7
95-th percentile20
Maximum88.8
Range91.5
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation13.876597
Coefficient of variation (CV)3.0800775
Kurtosis17.262703
Mean4.5052753
Median Absolute Deviation (MAD)1.3
Skewness3.7530776
Sum117430
Variance192.55995
MonotonicityNot monotonic
2025-05-15T14:19:55.978204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.5 3710
 
14.2%
20 3611
 
13.8%
-2.4 1601
 
6.1%
-2.6 1068
 
4.1%
-2.3 927
 
3.5%
-2.2 706
 
2.7%
-1.9 656
 
2.5%
-1.8 605
 
2.3%
-2.1 584
 
2.2%
-2 559
 
2.1%
Other values (367) 12038
45.9%
ValueCountFrequency (%)
-2.7 166
 
0.6%
-2.6 1068
 
4.1%
-2.5 3710
14.2%
-2.4 1601
6.1%
-2.3 927
 
3.5%
-2.2 706
 
2.7%
-2.1 584
 
2.2%
-2 559
 
2.1%
-1.9 656
 
2.5%
-1.8 605
 
2.3%
ValueCountFrequency (%)
88.8 138
0.5%
88.7 6
 
< 0.1%
88.6 8
 
< 0.1%
88.5 1
 
< 0.1%
88.4 1
 
< 0.1%
88.3 1
 
< 0.1%
88.2 1
 
< 0.1%
87.7 1
 
< 0.1%
87.6 1
 
< 0.1%
87.5 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct216
Distinct (%)0.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1.1855055
Minimum0
Maximum43.9
Zeros4920
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:56.056828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.4
Q31.1
95-th percentile5.1
Maximum43.9
Range43.9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.7287247
Coefficient of variation (CV)2.3017395
Kurtosis68.564366
Mean1.1855055
Median Absolute Deviation (MAD)0.4
Skewness6.8178245
Sum30900.2
Variance7.4459386
MonotonicityNot monotonic
2025-05-15T14:19:56.134892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4920
18.8%
0.1 2725
 
10.4%
0.3 2059
 
7.9%
0.4 1950
 
7.4%
0.2 1931
 
7.4%
0.5 1545
 
5.9%
0.6 1225
 
4.7%
0.7 1045
 
4.0%
0.8 835
 
3.2%
0.9 683
 
2.6%
Other values (206) 7147
27.3%
ValueCountFrequency (%)
0 4920
18.8%
0.1 2725
10.4%
0.2 1931
 
7.4%
0.3 2059
7.9%
0.4 1950
 
7.4%
0.5 1545
 
5.9%
0.6 1225
 
4.7%
0.7 1045
 
4.0%
0.8 835
 
3.2%
0.9 683
 
2.6%
ValueCountFrequency (%)
43.9 1
< 0.1%
43.4 2
< 0.1%
43.2 1
< 0.1%
42.7 1
< 0.1%
42.5 1
< 0.1%
41.5 1
< 0.1%
41.2 1
< 0.1%
41.1 1
< 0.1%
40.9 2
< 0.1%
39.7 1
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean60.262689
Minimum0
Maximum97
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:56.214981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q152
median56
Q366
95-th percentile83
Maximum97
Range97
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.086236
Coefficient of variation (CV)0.18396518
Kurtosis0.45512979
Mean60.262689
Median Absolute Deviation (MAD)5
Skewness1.0619334
Sum1570747
Variance122.90463
MonotonicityNot monotonic
2025-05-15T14:19:56.296598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 2088
 
8.0%
52 1797
 
6.9%
55 1734
 
6.6%
53 1696
 
6.5%
56 1405
 
5.4%
50 1187
 
4.5%
51 1171
 
4.5%
57 997
 
3.8%
48 972
 
3.7%
58 867
 
3.3%
Other values (53) 12151
46.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
36 60
0.2%
37 4
 
< 0.1%
38 5
 
< 0.1%
39 2
 
< 0.1%
40 3
 
< 0.1%
41 1
 
< 0.1%
42 2
 
< 0.1%
43 1
 
< 0.1%
44 2
 
< 0.1%
ValueCountFrequency (%)
97 1
 
< 0.1%
96 12
 
< 0.1%
95 40
 
0.2%
94 72
0.3%
93 69
0.3%
92 105
0.4%
91 110
0.4%
90 86
0.3%
89 94
0.4%
88 110
0.4%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct55
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean63.308038
Minimum0
Maximum94
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:56.375093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q158
median61
Q367
95-th percentile82
Maximum94
Range94
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.4420981
Coefficient of variation (CV)0.13334955
Kurtosis1.3409807
Mean63.308038
Median Absolute Deviation (MAD)4
Skewness1.149534
Sum1650124
Variance71.269021
MonotonicityNot monotonic
2025-05-15T14:19:56.602367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 2254
 
8.6%
60 2180
 
8.3%
58 2106
 
8.0%
61 1803
 
6.9%
57 1501
 
5.7%
56 1395
 
5.3%
62 1229
 
4.7%
63 1222
 
4.7%
54 991
 
3.8%
65 910
 
3.5%
Other values (45) 10474
40.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
41 11
 
< 0.1%
42 46
0.2%
43 12
 
< 0.1%
44 4
 
< 0.1%
45 3
 
< 0.1%
46 2
 
< 0.1%
47 2
 
< 0.1%
48 2
 
< 0.1%
49 7
 
< 0.1%
ValueCountFrequency (%)
94 24
 
0.1%
93 24
 
0.1%
92 37
 
0.1%
91 76
0.3%
90 54
 
0.2%
89 60
 
0.2%
88 87
0.3%
87 90
0.3%
86 105
0.4%
85 169
0.6%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct62
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean59.69461
Minimum0
Maximum95
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:56.678959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q152
median56
Q366
95-th percentile82
Maximum95
Range95
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.853786
Coefficient of variation (CV)0.18182188
Kurtosis0.53791751
Mean59.69461
Median Absolute Deviation (MAD)5
Skewness1.0747685
Sum1555940
Variance117.80468
MonotonicityNot monotonic
2025-05-15T14:19:56.754689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 2273
 
8.7%
54 2216
 
8.5%
53 1852
 
7.1%
55 1421
 
5.4%
51 1296
 
4.9%
56 1232
 
4.7%
50 1187
 
4.5%
48 916
 
3.5%
49 822
 
3.1%
57 774
 
3.0%
Other values (52) 12076
46.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
35 30
0.1%
36 32
0.1%
37 5
 
< 0.1%
38 3
 
< 0.1%
39 3
 
< 0.1%
40 2
 
< 0.1%
41 1
 
< 0.1%
42 2
 
< 0.1%
43 1
 
< 0.1%
ValueCountFrequency (%)
95 14
 
0.1%
94 70
0.3%
93 67
0.3%
92 83
0.3%
91 91
0.3%
90 85
0.3%
89 94
0.4%
88 122
0.5%
87 89
0.3%
86 110
0.4%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean47.575906
Minimum0
Maximum62
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:56.820388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42
Q145
median48
Q350
95-th percentile53
Maximum62
Range62
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6862656
Coefficient of variation (CV)0.077481773
Kurtosis2.9594213
Mean47.575906
Median Absolute Deviation (MAD)2
Skewness-0.22954419
Sum1240066
Variance13.588554
MonotonicityNot monotonic
2025-05-15T14:19:56.887123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
48 3596
13.7%
49 2893
11.0%
47 2855
10.9%
50 2601
9.9%
46 2564
9.8%
45 1786
6.8%
44 1776
6.8%
51 1650
6.3%
43 1283
 
4.9%
52 1237
 
4.7%
Other values (22) 3824
14.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
32 2
 
< 0.1%
33 10
 
< 0.1%
34 26
 
0.1%
35 39
 
0.1%
36 106
 
0.4%
37 42
 
0.2%
38 79
 
0.3%
39 132
0.5%
40 321
1.2%
ValueCountFrequency (%)
62 1
 
< 0.1%
61 6
 
< 0.1%
60 27
 
0.1%
59 79
 
0.3%
58 138
 
0.5%
57 130
 
0.5%
56 184
 
0.7%
55 249
1.0%
54 458
1.7%
53 601
2.3%
Distinct1
Distinct (%)< 0.1%
Missing143
Missing (%)0.5%
Memory size2.6 MiB
600.0
26065 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130325
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26065
99.5%
(Missing) 143
 
0.5%

Length

2025-05-15T14:19:56.951280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:19:56.986304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26065
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78195
60.0%
6 26065
 
20.0%
. 26065
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78195
60.0%
6 26065
 
20.0%
. 26065
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78195
60.0%
6 26065
 
20.0%
. 26065
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78195
60.0%
6 26065
 
20.0%
. 26065
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct18
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean599.82417
Minimum0
Maximum600
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.021218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.2085715
Coefficient of variation (CV)0.013684963
Kurtosis3983.5198
Mean599.82417
Median Absolute Deviation (MAD)0
Skewness-60.498148
Sum15634417
Variance67.380647
MonotonicityNot monotonic
2025-05-15T14:19:57.077443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
600 26043
99.4%
529 3
 
< 0.1%
528 2
 
< 0.1%
0 2
 
< 0.1%
492 2
 
< 0.1%
522 1
 
< 0.1%
562 1
 
< 0.1%
263 1
 
< 0.1%
503 1
 
< 0.1%
525 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 2
< 0.1%
31 1
< 0.1%
83 1
< 0.1%
236 1
< 0.1%
263 1
< 0.1%
339 1
< 0.1%
441 1
< 0.1%
470 1
< 0.1%
484 1
< 0.1%
492 2
< 0.1%
ValueCountFrequency (%)
600 26043
99.4%
562 1
 
< 0.1%
531 1
 
< 0.1%
529 3
 
< 0.1%
528 2
 
< 0.1%
525 1
 
< 0.1%
522 1
 
< 0.1%
503 1
 
< 0.1%
492 2
 
< 0.1%
484 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct50
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean596.37453
Minimum0
Maximum600
Zeros134
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.146820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.161047
Coefficient of variation (CV)0.075725983
Kurtosis163.027
Mean596.37453
Median Absolute Deviation (MAD)0
Skewness-12.77284
Sum15544502
Variance2039.5202
MonotonicityNot monotonic
2025-05-15T14:19:57.225297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25877
98.7%
0 134
 
0.5%
528 3
 
< 0.1%
492 2
 
< 0.1%
160 2
 
< 0.1%
355 2
 
< 0.1%
529 2
 
< 0.1%
145 1
 
< 0.1%
487 1
 
< 0.1%
80 1
 
< 0.1%
Other values (40) 40
 
0.2%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 134
0.5%
13 1
 
< 0.1%
17 1
 
< 0.1%
75 1
 
< 0.1%
77 1
 
< 0.1%
80 1
 
< 0.1%
85 1
 
< 0.1%
102 1
 
< 0.1%
109 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
600 25877
98.7%
582 1
 
< 0.1%
562 1
 
< 0.1%
549 1
 
< 0.1%
539 1
 
< 0.1%
529 2
 
< 0.1%
528 3
 
< 0.1%
525 1
 
< 0.1%
510 1
 
< 0.1%
502 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct64
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean595.3929
Minimum0
Maximum600
Zeros169
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.303407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.973574
Coefficient of variation (CV)0.085613338
Kurtosis126.53233
Mean595.3929
Median Absolute Deviation (MAD)0
Skewness-11.276724
Sum15518916
Variance2598.3052
MonotonicityNot monotonic
2025-05-15T14:19:57.380270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25830
98.6%
0 169
 
0.6%
528 2
 
< 0.1%
160 2
 
< 0.1%
77 2
 
< 0.1%
360 2
 
< 0.1%
355 1
 
< 0.1%
487 1
 
< 0.1%
511 1
 
< 0.1%
249 1
 
< 0.1%
Other values (54) 54
 
0.2%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 169
0.6%
13 1
 
< 0.1%
21 1
 
< 0.1%
50 1
 
< 0.1%
51 1
 
< 0.1%
65 1
 
< 0.1%
66 1
 
< 0.1%
70 1
 
< 0.1%
77 2
 
< 0.1%
79 1
 
< 0.1%
ValueCountFrequency (%)
600 25830
98.6%
582 1
 
< 0.1%
574 1
 
< 0.1%
570 1
 
< 0.1%
562 1
 
< 0.1%
550 1
 
< 0.1%
549 1
 
< 0.1%
547 1
 
< 0.1%
542 1
 
< 0.1%
541 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct113
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean586.55419
Minimum0
Maximum600
Zeros527
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.458337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.088335
Coefficient of variation (CV)0.14847449
Kurtosis40.068539
Mean586.55419
Median Absolute Deviation (MAD)0
Skewness-6.4578956
Sum15288535
Variance7584.3781
MonotonicityNot monotonic
2025-05-15T14:19:57.536479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25411
97.0%
0 527
 
2.0%
279 3
 
< 0.1%
541 2
 
< 0.1%
140 2
 
< 0.1%
491 2
 
< 0.1%
367 2
 
< 0.1%
76 2
 
< 0.1%
487 2
 
< 0.1%
390 2
 
< 0.1%
Other values (103) 110
 
0.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 527
2.0%
2 1
 
< 0.1%
13 1
 
< 0.1%
25 1
 
< 0.1%
50 1
 
< 0.1%
58 1
 
< 0.1%
61 1
 
< 0.1%
70 1
 
< 0.1%
76 2
 
< 0.1%
77 2
 
< 0.1%
ValueCountFrequency (%)
600 25411
97.0%
592 1
 
< 0.1%
591 1
 
< 0.1%
579 1
 
< 0.1%
578 1
 
< 0.1%
573 2
 
< 0.1%
562 1
 
< 0.1%
550 1
 
< 0.1%
548 1
 
< 0.1%
546 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct455
Distinct (%)1.7%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean226.4389
Minimum0
Maximum600
Zeros15815
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.614054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation287.47898
Coefficient of variation (CV)1.2695653
Kurtosis-1.7241302
Mean226.4389
Median Absolute Deviation (MAD)0
Skewness0.50585332
Sum5902130
Variance82644.165
MonotonicityNot monotonic
2025-05-15T14:19:57.692403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15815
60.3%
600 9433
36.0%
36 6
 
< 0.1%
149 6
 
< 0.1%
216 5
 
< 0.1%
395 5
 
< 0.1%
334 5
 
< 0.1%
125 5
 
< 0.1%
42 5
 
< 0.1%
89 5
 
< 0.1%
Other values (445) 775
 
3.0%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 15815
60.3%
1 1
 
< 0.1%
2 1
 
< 0.1%
9 3
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 2
 
< 0.1%
ValueCountFrequency (%)
600 9433
36.0%
598 2
 
< 0.1%
597 1
 
< 0.1%
596 1
 
< 0.1%
594 2
 
< 0.1%
593 1
 
< 0.1%
591 2
 
< 0.1%
590 1
 
< 0.1%
589 1
 
< 0.1%
587 2
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct597
Distinct (%)2.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean255.39045
Minimum0
Maximum600
Zeros13757
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.771983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation285.50609
Coefficient of variation (CV)1.11792
Kurtosis-1.8545199
Mean255.39045
Median Absolute Deviation (MAD)0
Skewness0.29093366
Sum6656752
Variance81513.729
MonotonicityNot monotonic
2025-05-15T14:19:57.852414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13757
52.5%
600 9321
35.6%
544 21
 
0.1%
559 19
 
0.1%
522 19
 
0.1%
551 18
 
0.1%
545 16
 
0.1%
537 15
 
0.1%
556 15
 
0.1%
494 14
 
0.1%
Other values (587) 2850
 
10.9%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 13757
52.5%
1 3
 
< 0.1%
2 4
 
< 0.1%
3 8
 
< 0.1%
4 5
 
< 0.1%
5 2
 
< 0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
8 5
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
600 9321
35.6%
599 3
 
< 0.1%
598 3
 
< 0.1%
597 3
 
< 0.1%
596 5
 
< 0.1%
595 2
 
< 0.1%
594 1
 
< 0.1%
593 3
 
< 0.1%
592 8
 
< 0.1%
591 8
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct282
Distinct (%)1.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean25.576482
Minimum0
Maximum600
Zeros11466
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:57.931307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q337
95-th percentile100
Maximum600
Range600
Interquartile range (IQR)37

Descriptive statistics

Standard deviation38.01154
Coefficient of variation (CV)1.4861911
Kurtosis17.310499
Mean25.576482
Median Absolute Deviation (MAD)14
Skewness2.9685822
Sum666651
Variance1444.8771
MonotonicityNot monotonic
2025-05-15T14:19:58.010164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11466
43.8%
15 500
 
1.9%
16 455
 
1.7%
13 451
 
1.7%
18 438
 
1.7%
17 437
 
1.7%
14 421
 
1.6%
19 383
 
1.5%
12 382
 
1.5%
20 321
 
1.2%
Other values (272) 10811
41.3%
ValueCountFrequency (%)
0 11466
43.8%
1 16
 
0.1%
2 20
 
0.1%
3 17
 
0.1%
4 21
 
0.1%
5 25
 
0.1%
6 22
 
0.1%
7 20
 
0.1%
8 36
 
0.1%
9 62
 
0.2%
ValueCountFrequency (%)
600 4
< 0.1%
445 1
 
< 0.1%
443 1
 
< 0.1%
421 1
 
< 0.1%
408 1
 
< 0.1%
372 1
 
< 0.1%
340 2
< 0.1%
321 1
 
< 0.1%
313 1
 
< 0.1%
312 1
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct38
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.9834261
Minimum0
Maximum600
Zeros25915
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:58.232101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.176189
Coefficient of variation (CV)13.801646
Kurtosis198.51793
Mean2.9834261
Median Absolute Deviation (MAD)0
Skewness14.089757
Sum77763
Variance1695.4785
MonotonicityNot monotonic
2025-05-15T14:19:58.300649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 25915
98.9%
600 113
 
0.4%
245 2
 
< 0.1%
455 1
 
< 0.1%
519 1
 
< 0.1%
113 1
 
< 0.1%
75 1
 
< 0.1%
210 1
 
< 0.1%
440 1
 
< 0.1%
523 1
 
< 0.1%
Other values (28) 28
 
0.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 25915
98.9%
18 1
 
< 0.1%
30 1
 
< 0.1%
31 1
 
< 0.1%
50 1
 
< 0.1%
72 1
 
< 0.1%
75 1
 
< 0.1%
98 1
 
< 0.1%
113 1
 
< 0.1%
115 1
 
< 0.1%
ValueCountFrequency (%)
600 113
0.4%
587 1
 
< 0.1%
549 1
 
< 0.1%
523 1
 
< 0.1%
519 1
 
< 0.1%
514 1
 
< 0.1%
484 1
 
< 0.1%
465 1
 
< 0.1%
455 1
 
< 0.1%
446 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct99
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean591.41017
Minimum0
Maximum600
Zeros322
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:58.375739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.406233
Coefficient of variation (CV)0.11735719
Kurtosis65.970047
Mean591.41017
Median Absolute Deviation (MAD)0
Skewness-8.198356
Sum15415106
Variance4817.2251
MonotonicityNot monotonic
2025-05-15T14:19:58.453797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25624
97.8%
0 322
 
1.2%
541 7
 
< 0.1%
540 4
 
< 0.1%
528 3
 
< 0.1%
1 3
 
< 0.1%
160 2
 
< 0.1%
582 2
 
< 0.1%
279 2
 
< 0.1%
355 2
 
< 0.1%
Other values (89) 94
 
0.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 322
1.2%
1 3
 
< 0.1%
4 1
 
< 0.1%
13 2
 
< 0.1%
22 1
 
< 0.1%
25 1
 
< 0.1%
50 1
 
< 0.1%
51 1
 
< 0.1%
52 1
 
< 0.1%
77 1
 
< 0.1%
ValueCountFrequency (%)
600 25624
97.8%
591 1
 
< 0.1%
582 2
 
< 0.1%
573 1
 
< 0.1%
570 1
 
< 0.1%
562 1
 
< 0.1%
549 1
 
< 0.1%
541 7
 
< 0.1%
540 4
 
< 0.1%
538 1
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct596
Distinct (%)2.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean438.95619
Minimum0
Maximum600
Zeros5660
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:58.531976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1196
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)404

Descriptive statistics

Standard deviation253.88247
Coefficient of variation (CV)0.5783777
Kurtosis-0.81049802
Mean438.95619
Median Absolute Deviation (MAD)0
Skewness-1.0469372
Sum11441393
Variance64456.308
MonotonicityNot monotonic
2025-05-15T14:19:58.611489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 17508
66.8%
0 5660
 
21.6%
587 14
 
0.1%
547 13
 
< 0.1%
475 12
 
< 0.1%
554 12
 
< 0.1%
566 11
 
< 0.1%
523 11
 
< 0.1%
438 11
 
< 0.1%
578 11
 
< 0.1%
Other values (586) 2802
 
10.7%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 5660
21.6%
1 6
 
< 0.1%
2 6
 
< 0.1%
3 8
 
< 0.1%
4 6
 
< 0.1%
5 5
 
< 0.1%
6 3
 
< 0.1%
7 3
 
< 0.1%
8 5
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
600 17508
66.8%
599 11
 
< 0.1%
598 5
 
< 0.1%
597 5
 
< 0.1%
596 9
 
< 0.1%
595 10
 
< 0.1%
594 4
 
< 0.1%
593 6
 
< 0.1%
592 9
 
< 0.1%
591 6
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct116
Distinct (%)0.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean13.144677
Minimum0
Maximum600
Zeros25419
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:58.694129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.001172
Coefficient of variation (CV)6.5426616
Kurtosis41.212524
Mean13.144677
Median Absolute Deviation (MAD)0
Skewness6.5426398
Sum342616
Variance7396.2016
MonotonicityNot monotonic
2025-05-15T14:19:58.773151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25419
97.0%
600 514
 
2.0%
233 3
 
< 0.1%
321 3
 
< 0.1%
523 3
 
< 0.1%
72 2
 
< 0.1%
460 2
 
< 0.1%
113 2
 
< 0.1%
27 2
 
< 0.1%
93 2
 
< 0.1%
Other values (106) 113
 
0.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 25419
97.0%
8 1
 
< 0.1%
9 1
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
27 2
 
< 0.1%
36 1
 
< 0.1%
50 1
 
< 0.1%
52 1
 
< 0.1%
53 1
 
< 0.1%
ValueCountFrequency (%)
600 514
2.0%
598 1
 
< 0.1%
587 1
 
< 0.1%
574 1
 
< 0.1%
550 1
 
< 0.1%
542 1
 
< 0.1%
539 1
 
< 0.1%
530 1
 
< 0.1%
524 1
 
< 0.1%
523 3
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation 

Distinct4347
Distinct (%)16.7%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean22530224
Minimum14698800
Maximum30423600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:58.850690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14698800
5-th percentile15480000
Q118608400
median22521600
Q326431200
95-th percentile29642400
Maximum30423600
Range15724800
Interquartile range (IQR)7822800

Descriptive statistics

Standard deviation4530766.6
Coefficient of variation (CV)0.20109727
Kurtosis-1.1922923
Mean22530224
Median Absolute Deviation (MAD)3909600
Skewness0.008491304
Sum5.872503 × 1011
Variance2.0527846 × 1013
MonotonicityIncreasing
2025-05-15T14:19:58.934025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18813600 7
 
< 0.1%
25135200 6
 
< 0.1%
25131600 6
 
< 0.1%
25128000 6
 
< 0.1%
24951600 6
 
< 0.1%
24948000 6
 
< 0.1%
24944400 6
 
< 0.1%
25113600 6
 
< 0.1%
25200000 6
 
< 0.1%
25106400 6
 
< 0.1%
Other values (4337) 26004
99.2%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
14698800 3
< 0.1%
14702400 6
< 0.1%
14706000 6
< 0.1%
14709600 6
< 0.1%
14713200 6
< 0.1%
14716800 6
< 0.1%
14720400 6
< 0.1%
14724000 6
< 0.1%
14727600 6
< 0.1%
14731200 6
< 0.1%
ValueCountFrequency (%)
30423600 3
< 0.1%
30420000 6
< 0.1%
30416400 6
< 0.1%
30412800 6
< 0.1%
30409200 6
< 0.1%
30405600 6
< 0.1%
30402000 6
< 0.1%
30398400 6
< 0.1%
30394800 6
< 0.1%
30391200 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26063
Distinct (%)> 99.9%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean22439288
Minimum14619305
Maximum30258078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:59.017466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14619305
5-th percentile15401225
Q118528908
median22438660
Q326351324
95-th percentile29476156
Maximum30258078
Range15638773
Interquartile range (IQR)7822416

Descriptive statistics

Standard deviation4515438.4
Coefficient of variation (CV)0.20122913
Kurtosis-1.2006166
Mean22439288
Median Absolute Deviation (MAD)3911462
Skewness-0.00012927814
Sum5.8488004 × 1011
Variance2.0389184 × 1013
MonotonicityIncreasing
2025-05-15T14:19:59.100544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26937484 2
 
< 0.1%
18735236 2
 
< 0.1%
25068276 1
 
< 0.1%
25051476 1
 
< 0.1%
25050876 1
 
< 0.1%
25050276 1
 
< 0.1%
25049676 1
 
< 0.1%
25049076 1
 
< 0.1%
25048478 1
 
< 0.1%
25047876 1
 
< 0.1%
Other values (26053) 26053
99.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
14619305 1
< 0.1%
14619905 1
< 0.1%
14620506 1
< 0.1%
14621105 1
< 0.1%
14621705 1
< 0.1%
14622305 1
< 0.1%
14622905 1
< 0.1%
14623505 1
< 0.1%
14624106 1
< 0.1%
14624706 1
< 0.1%
ValueCountFrequency (%)
30258078 1
< 0.1%
30257476 1
< 0.1%
30256876 1
< 0.1%
30256276 1
< 0.1%
30255676 1
< 0.1%
30255076 1
< 0.1%
30254476 1
< 0.1%
30253876 1
< 0.1%
30253276 1
< 0.1%
30252676 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct25931
Distinct (%)99.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean22326948
Minimum14533244
Maximum30082104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:59.182765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14533244
5-th percentile15315164
Q118434312
median22339818
Q326227436
95-th percentile29300382
Maximum30082104
Range15548860
Interquartile range (IQR)7793124

Descriptive statistics

Standard deviation4492823.4
Coefficient of variation (CV)0.20122873
Kurtosis-1.2044515
Mean22326948
Median Absolute Deviation (MAD)3896042
Skewness-0.0075855941
Sum5.819519 × 1011
Variance2.0185462 × 1013
MonotonicityIncreasing
2025-05-15T14:19:59.267145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25954120 29
 
0.1%
26800706 29
 
0.1%
28403508 20
 
0.1%
28281728 16
 
0.1%
15352389 13
 
< 0.1%
28254980 11
 
< 0.1%
23128768 10
 
< 0.1%
20115768 6
 
< 0.1%
28347120 4
 
< 0.1%
25626294 3
 
< 0.1%
Other values (25921) 25924
98.9%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
14533244 1
< 0.1%
14533844 1
< 0.1%
14534445 1
< 0.1%
14535044 1
< 0.1%
14535644 1
< 0.1%
14536244 1
< 0.1%
14536844 1
< 0.1%
14537444 1
< 0.1%
14538045 1
< 0.1%
14538645 1
< 0.1%
ValueCountFrequency (%)
30082104 1
< 0.1%
30081500 1
< 0.1%
30080900 1
< 0.1%
30080302 1
< 0.1%
30079702 1
< 0.1%
30079100 1
< 0.1%
30078502 1
< 0.1%
30077900 1
< 0.1%
30077300 1
< 0.1%
30076700 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct25896
Distinct (%)99.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean22172005
Minimum14389093
Maximum29912370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:59.351183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14389093
5-th percentile15171013
Q118289408
median22189750
Q326056240
95-th percentile29132200
Maximum29912370
Range15523277
Interquartile range (IQR)7766832

Descriptive statistics

Standard deviation4483374.8
Coefficient of variation (CV)0.20220881
Kurtosis-1.2036359
Mean22172005
Median Absolute Deviation (MAD)3882942
Skewness-0.0088330376
Sum5.7791331 × 1011
Variance2.010065 × 1013
MonotonicityIncreasing
2025-05-15T14:19:59.434022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26629256 29
 
0.1%
25789648 29
 
0.1%
24488792 21
 
0.1%
28235324 20
 
0.1%
15208238 13
 
< 0.1%
28079828 10
 
< 0.1%
22978700 10
 
< 0.1%
28195128 8
 
< 0.1%
28079712 7
 
< 0.1%
19965700 6
 
< 0.1%
Other values (25886) 25912
98.9%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
14389093 1
< 0.1%
14389693 1
< 0.1%
14390294 1
< 0.1%
14390893 1
< 0.1%
14391493 1
< 0.1%
14392093 1
< 0.1%
14392693 1
< 0.1%
14393293 1
< 0.1%
14393894 1
< 0.1%
14394494 1
< 0.1%
ValueCountFrequency (%)
29912370 1
< 0.1%
29911768 1
< 0.1%
29911168 1
< 0.1%
29910568 1
< 0.1%
29909968 1
< 0.1%
29909368 1
< 0.1%
29908768 1
< 0.1%
29908168 1
< 0.1%
29907568 1
< 0.1%
29906968 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25538
Distinct (%)98.0%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean21957521
Minimum14247208
Maximum29540102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:59.515906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14247208
5-th percentile15029128
Q118135524
median21961672
Q325800810
95-th percentile28760242
Maximum29540102
Range15292894
Interquartile range (IQR)7665286

Descriptive statistics

Standard deviation4416793.5
Coefficient of variation (CV)0.20115174
Kurtosis-1.2058381
Mean21957521
Median Absolute Deviation (MAD)3832748
Skewness-0.021009905
Sum5.723228 × 1011
Variance1.9508065 × 1013
MonotonicityIncreasing
2025-05-15T14:19:59.599722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27811436 110
 
0.4%
21539824 91
 
0.3%
25534292 29
 
0.1%
26371872 29
 
0.1%
25488668 23
 
0.1%
24253052 21
 
0.1%
27863596 20
 
0.1%
27582034 19
 
0.1%
27784616 18
 
0.1%
27587068 18
 
0.1%
Other values (25528) 25687
98.0%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
14247208 1
< 0.1%
14247808 1
< 0.1%
14248409 1
< 0.1%
14249008 1
< 0.1%
14249608 1
< 0.1%
14250208 1
< 0.1%
14250808 1
< 0.1%
14251408 1
< 0.1%
14252009 1
< 0.1%
14252609 1
< 0.1%
ValueCountFrequency (%)
29540102 1
< 0.1%
29539500 1
< 0.1%
29538900 1
< 0.1%
29538300 1
< 0.1%
29537700 1
< 0.1%
29537100 1
< 0.1%
29536500 1
< 0.1%
29535900 1
< 0.1%
29535300 1
< 0.1%
29534700 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct10251
Distinct (%)39.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean8270022.1
Minimum5169155
Maximum11071358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:59.831024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5169155
5-th percentile5555673
Q16666849
median8389795
Q39755844
95-th percentile10900556
Maximum11071358
Range5902203
Interquartile range (IQR)3088995

Descriptive statistics

Standard deviation1729347.8
Coefficient of variation (CV)0.20911043
Kurtosis-1.203665
Mean8270022.1
Median Absolute Deviation (MAD)1512796
Skewness-0.18341609
Sum2.1555813 × 1011
Variance2.990644 × 1012
MonotonicityIncreasing
2025-05-15T14:19:59.911793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8919579 715
 
2.7%
9019967 700
 
2.7%
5729482 571
 
2.2%
9214986 564
 
2.2%
5555673 491
 
1.9%
10969937 461
 
1.8%
9585745 387
 
1.5%
6252322 379
 
1.4%
9683165 344
 
1.3%
6437109 293
 
1.1%
Other values (10241) 21160
80.7%
ValueCountFrequency (%)
5169155 72
0.3%
5169356 1
 
< 0.1%
5169956 1
 
< 0.1%
5170227 5
 
< 0.1%
5170582 1
 
< 0.1%
5171183 1
 
< 0.1%
5171598 29
0.1%
5171794 1
 
< 0.1%
5172392 1
 
< 0.1%
5172992 1
 
< 0.1%
ValueCountFrequency (%)
11071358 92
0.4%
11070983 1
 
< 0.1%
11070383 1
 
< 0.1%
11069783 1
 
< 0.1%
11069183 1
 
< 0.1%
11068585 1
 
< 0.1%
11067983 1
 
< 0.1%
11067383 1
 
< 0.1%
11066783 1
 
< 0.1%
11066183 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct12309
Distinct (%)47.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean9035889.3
Minimum5768455
Maximum12425786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:19:59.991208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5768455
5-th percentile6131957
Q17427193
median9014655
Q310585747
95-th percentile11996491
Maximum12425786
Range6657331
Interquartile range (IQR)3158554

Descriptive statistics

Standard deviation1892260.1
Coefficient of variation (CV)0.20941603
Kurtosis-1.1961558
Mean9035889.3
Median Absolute Deviation (MAD)1577730
Skewness0.061413319
Sum2.3552046 × 1011
Variance3.5806482 × 1012
MonotonicityIncreasing
2025-05-15T14:20:00.072943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9191731 406
 
1.5%
6798927 342
 
1.3%
7829176 294
 
1.1%
8784299 271
 
1.0%
11524969 248
 
0.9%
7094196 228
 
0.9%
11996491 221
 
0.8%
7925733 212
 
0.8%
10290437 211
 
0.8%
9081185 187
 
0.7%
Other values (12299) 23445
89.5%
ValueCountFrequency (%)
5768455 1
< 0.1%
5769055 1
< 0.1%
5769656 1
< 0.1%
5770255 1
< 0.1%
5770855 1
< 0.1%
5771455 1
< 0.1%
5772055 1
< 0.1%
5772655 1
< 0.1%
5773256 1
< 0.1%
5773856 1
< 0.1%
ValueCountFrequency (%)
12425786 1
< 0.1%
12425184 1
< 0.1%
12424584 1
< 0.1%
12423985 1
< 0.1%
12423385 1
< 0.1%
12422784 1
< 0.1%
12422185 1
< 0.1%
12421584 1
< 0.1%
12420984 1
< 0.1%
12420384 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct14605
Distinct (%)56.0%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean908685.61
Minimum586684
Maximum1254525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:00.153506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum586684
5-th percentile619028
Q1738642
median918232
Q31060773
95-th percentile1221418
Maximum1254525
Range667841
Interquartile range (IQR)322131

Descriptive statistics

Standard deviation194036.66
Coefficient of variation (CV)0.21353552
Kurtosis-1.1543685
Mean908685.61
Median Absolute Deviation (MAD)162553
Skewness0.045203754
Sum2.368489 × 1010
Variance3.7650224 × 1010
MonotonicityIncreasing
2025-05-15T14:20:00.234487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627603 107
 
0.4%
1094699 86
 
0.3%
955783 72
 
0.3%
1046306 62
 
0.2%
647048 56
 
0.2%
1136767 48
 
0.2%
954741 45
 
0.2%
1103224 45
 
0.2%
955352 44
 
0.2%
622603 40
 
0.2%
Other values (14595) 25460
97.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
586684 7
< 0.1%
586705 5
< 0.1%
586723 5
< 0.1%
586749 1
 
< 0.1%
586768 1
 
< 0.1%
586825 1
 
< 0.1%
586836 1
 
< 0.1%
586857 1
 
< 0.1%
586901 2
 
< 0.1%
586924 6
< 0.1%
ValueCountFrequency (%)
1254525 5
 
< 0.1%
1254511 2
 
< 0.1%
1254493 5
 
< 0.1%
1254477 5
 
< 0.1%
1254462 1
 
< 0.1%
1254454 1
 
< 0.1%
1254443 3
 
< 0.1%
1254442 1
 
< 0.1%
1254425 19
0.1%
1254406 2
 
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct151
Distinct (%)0.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean108042.06
Minimum83202
Maximum160968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:00.314741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum83202
5-th percentile83202
Q191735
median95983
Q3121027
95-th percentile160828
Maximum160968
Range77766
Interquartile range (IQR)29292

Descriptive statistics

Standard deviation23765.099
Coefficient of variation (CV)0.21996156
Kurtosis0.12002415
Mean108042.06
Median Absolute Deviation (MAD)5522
Skewness1.256495
Sum2.8161162 × 109
Variance5.6477994 × 108
MonotonicityIncreasing
2025-05-15T14:20:00.396838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95983 5020
19.2%
101505 4156
15.9%
91735 3753
14.3%
92020 2454
9.4%
138725 2262
8.6%
160828 1903
 
7.3%
91377 1733
 
6.6%
83202 1366
 
5.2%
122132 946
 
3.6%
160968 896
 
3.4%
Other values (141) 1576
 
6.0%
ValueCountFrequency (%)
83202 1366
5.2%
83657 1
 
< 0.1%
84257 1
 
< 0.1%
84858 1
 
< 0.1%
85458 1
 
< 0.1%
86059 1
 
< 0.1%
86658 1
 
< 0.1%
87257 1
 
< 0.1%
87857 1
 
< 0.1%
88457 1
 
< 0.1%
ValueCountFrequency (%)
160968 896
3.4%
160828 1903
7.3%
160511 1
 
< 0.1%
159911 1
 
< 0.1%
159311 1
 
< 0.1%
158711 1
 
< 0.1%
158111 1
 
< 0.1%
157511 1
 
< 0.1%
156911 1
 
< 0.1%
156311 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25741
Distinct (%)98.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean22156407
Minimum14420242
Maximum29839708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:00.478534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14420242
5-th percentile15202162
Q118310228
median22144510
Q326010938
95-th percentile29057926
Maximum29839708
Range15419466
Interquartile range (IQR)7700710

Descriptive statistics

Standard deviation4445722.4
Coefficient of variation (CV)0.20065177
Kurtosis-1.1987134
Mean22156407
Median Absolute Deviation (MAD)3850482
Skewness-0.0098522687
Sum5.7750676 × 1011
Variance1.9764448 × 1013
MonotonicityIncreasing
2025-05-15T14:20:00.562577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21722662 60
 
0.2%
26582596 29
 
0.1%
25737622 29
 
0.1%
25691996 23
 
0.1%
28161052 20
 
0.1%
27799948 18
 
0.1%
21722562 17
 
0.1%
27797024 14
 
0.1%
21708108 13
 
< 0.1%
15239387 13
 
< 0.1%
Other values (25731) 25829
98.6%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
14420242 1
< 0.1%
14420842 1
< 0.1%
14421443 1
< 0.1%
14422042 1
< 0.1%
14422642 1
< 0.1%
14423242 1
< 0.1%
14423842 1
< 0.1%
14424442 1
< 0.1%
14425043 1
< 0.1%
14425643 1
< 0.1%
ValueCountFrequency (%)
29839708 1
< 0.1%
29839106 1
< 0.1%
29838506 1
< 0.1%
29837908 1
< 0.1%
29837308 1
< 0.1%
29836706 1
< 0.1%
29836108 1
< 0.1%
29835506 1
< 0.1%
29834906 1
< 0.1%
29834306 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct20406
Distinct (%)78.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean15707054
Minimum9899645
Maximum21341636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:00.645949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9899645
5-th percentile10605606
Q112772330
median15825253
Q318427244
95-th percentile20838196
Maximum21341636
Range11441991
Interquartile range (IQR)5654914

Descriptive statistics

Standard deviation3282362.9
Coefficient of variation (CV)0.20897381
Kurtosis-1.1881174
Mean15707054
Median Absolute Deviation (MAD)2814247
Skewness-0.064542749
Sum4.0940436 × 1011
Variance1.0773906 × 1013
MonotonicityIncreasing
2025-05-15T14:20:00.728010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18163048 147
 
0.6%
10823359 122
 
0.5%
21002788 113
 
0.4%
16859788 111
 
0.4%
16633682 108
 
0.4%
18163068 101
 
0.4%
16654647 98
 
0.4%
16910120 96
 
0.4%
18892016 93
 
0.4%
11179726 93
 
0.4%
Other values (20396) 24983
95.3%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
9899645 1
< 0.1%
9900238 1
< 0.1%
9900616 1
< 0.1%
9900978 1
< 0.1%
9901578 1
< 0.1%
9901967 1
< 0.1%
9902284 1
< 0.1%
9902884 1
< 0.1%
9903485 1
< 0.1%
9904085 1
< 0.1%
ValueCountFrequency (%)
21341636 1
< 0.1%
21341036 1
< 0.1%
21340436 1
< 0.1%
21339836 1
< 0.1%
21339236 1
< 0.1%
21338636 1
< 0.1%
21338036 1
< 0.1%
21337436 1
< 0.1%
21336836 1
< 0.1%
21336236 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct1937
Distinct (%)7.4%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-443.1512
Minimum-5130
Maximum0
Zeros19430
Zeros (%)74.1%
Negative6635
Negative (%)25.3%
Memory size1.4 MiB
2025-05-15T14:20:00.807859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5130
5-th percentile-2335
Q1-47
median0
Q30
95-th percentile0
Maximum0
Range5130
Interquartile range (IQR)47

Descriptive statistics

Standard deviation859.74144
Coefficient of variation (CV)-1.9400634
Kurtosis0.64839921
Mean-443.1512
Median Absolute Deviation (MAD)0
Skewness-1.5741199
Sum-11550736
Variance739155.35
MonotonicityNot monotonic
2025-05-15T14:20:00.886606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19430
74.1%
-1 77
 
0.3%
-2172 22
 
0.1%
-2123 22
 
0.1%
-2143 21
 
0.1%
-2158 20
 
0.1%
-2196 20
 
0.1%
-2242 19
 
0.1%
-2151 19
 
0.1%
-2175 19
 
0.1%
Other values (1927) 6396
 
24.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-5130 1
< 0.1%
-3091 1
< 0.1%
-3051 1
< 0.1%
-2995 1
< 0.1%
-2970 1
< 0.1%
-2896 1
< 0.1%
-2877 1
< 0.1%
-2875 1
< 0.1%
-2848 1
< 0.1%
-2831 1
< 0.1%
ValueCountFrequency (%)
0 19430
74.1%
-1 77
 
0.3%
-4 1
 
< 0.1%
-7 1
 
< 0.1%
-8 2
 
< 0.1%
-13 2
 
< 0.1%
-15 2
 
< 0.1%
-16 1
 
< 0.1%
-17 2
 
< 0.1%
-20 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct9882
Distinct (%)37.9%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean109144.81
Minimum-55
Maximum507723
Zeros15772
Zeros (%)60.2%
Negative2
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:20:00.963357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-55
5-th percentile0
Q10
median0
Q3197188
95-th percentile483564
Maximum507723
Range507778
Interquartile range (IQR)197188

Descriptive statistics

Standard deviation163106.51
Coefficient of variation (CV)1.4944047
Kurtosis0.079593366
Mean109144.81
Median Absolute Deviation (MAD)0
Skewness1.2334854
Sum2.8448594 × 109
Variance2.6603735 × 1010
MonotonicityNot monotonic
2025-05-15T14:20:01.045213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15772
60.2%
1 39
 
0.1%
500043 10
 
< 0.1%
500061 8
 
< 0.1%
500071 8
 
< 0.1%
500065 8
 
< 0.1%
500080 8
 
< 0.1%
500073 7
 
< 0.1%
500050 7
 
< 0.1%
500051 7
 
< 0.1%
Other values (9872) 10191
38.9%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-55 1
 
< 0.1%
-45 1
 
< 0.1%
0 15772
60.2%
1 39
 
0.1%
146 1
 
< 0.1%
345 1
 
< 0.1%
558 1
 
< 0.1%
613 1
 
< 0.1%
645 1
 
< 0.1%
663 1
 
< 0.1%
ValueCountFrequency (%)
507723 1
< 0.1%
500334 1
< 0.1%
500170 1
< 0.1%
500131 1
< 0.1%
500128 2
< 0.1%
500116 1
< 0.1%
500112 1
< 0.1%
500111 1
< 0.1%
500108 1
< 0.1%
500105 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct11409
Distinct (%)43.8%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean17430.891
Minimum-1320
Maximum233306
Zeros13676
Zeros (%)52.2%
Negative241
Negative (%)0.9%
Memory size1.4 MiB
2025-05-15T14:20:01.271402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1320
5-th percentile0
Q10
median0
Q327601
95-th percentile79260
Maximum233306
Range234626
Interquartile range (IQR)27601

Descriptive statistics

Standard deviation28255.91
Coefficient of variation (CV)1.621025
Kurtosis5.9858453
Mean17430.891
Median Absolute Deviation (MAD)0
Skewness2.1076521
Sum4.5433618 × 108
Variance7.9839648 × 108
MonotonicityNot monotonic
2025-05-15T14:20:01.350239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13676
52.2%
1 82
 
0.3%
-1 9
 
< 0.1%
698 5
 
< 0.1%
93613 3
 
< 0.1%
30736 3
 
< 0.1%
587 3
 
< 0.1%
167 3
 
< 0.1%
14500 3
 
< 0.1%
74189 3
 
< 0.1%
Other values (11399) 12275
46.8%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-1320 1
< 0.1%
-1283 1
< 0.1%
-1249 1
< 0.1%
-1238 1
< 0.1%
-1134 1
< 0.1%
-1131 1
< 0.1%
-1053 1
< 0.1%
-923 1
< 0.1%
-834 1
< 0.1%
-833 1
< 0.1%
ValueCountFrequency (%)
233306 1
 
< 0.1%
233305 1
 
< 0.1%
233304 3
< 0.1%
233303 1
 
< 0.1%
233302 1
 
< 0.1%
233299 1
 
< 0.1%
233285 1
 
< 0.1%
233263 1
 
< 0.1%
233079 1
 
< 0.1%
232941 1
 
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct21252
Distinct (%)81.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean126132.55
Minimum-5130
Maximum507723
Zeros15
Zeros (%)0.1%
Negative4858
Negative (%)18.5%
Memory size1.4 MiB
2025-05-15T14:20:01.430368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5130
5-th percentile-2340
Q18642
median53997
Q3198700
95-th percentile483564
Maximum507723
Range512853
Interquartile range (IQR)190058

Descriptive statistics

Standard deviation154312.07
Coefficient of variation (CV)1.223412
Kurtosis0.16941215
Mean126132.55
Median Absolute Deviation (MAD)56135
Skewness1.2137492
Sum3.2876448 × 109
Variance2.3812216 × 1010
MonotonicityNot monotonic
2025-05-15T14:20:01.513097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2158 23
 
0.1%
-2123 22
 
0.1%
-2172 22
 
0.1%
-2175 20
 
0.1%
-2196 20
 
0.1%
-2143 20
 
0.1%
-2245 19
 
0.1%
-2221 19
 
0.1%
-2248 18
 
0.1%
-2187 18
 
0.1%
Other values (21242) 25864
98.7%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-5130 1
< 0.1%
-3091 1
< 0.1%
-3051 1
< 0.1%
-2995 1
< 0.1%
-2979 1
< 0.1%
-2970 1
< 0.1%
-2896 1
< 0.1%
-2877 1
< 0.1%
-2875 1
< 0.1%
-2857 1
< 0.1%
ValueCountFrequency (%)
507723 1
< 0.1%
500334 1
< 0.1%
500170 1
< 0.1%
500131 1
< 0.1%
500128 2
< 0.1%
500116 1
< 0.1%
500112 1
< 0.1%
500111 1
< 0.1%
500108 1
< 0.1%
500105 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2469
Distinct (%)9.5%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-307.47454
Minimum-3882
Maximum5542
Zeros19444
Zeros (%)74.2%
Negative5001
Negative (%)19.1%
Memory size1.4 MiB
2025-05-15T14:20:01.594001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3882
5-th percentile-2233
Q10
median0
Q30
95-th percentile162.8
Maximum5542
Range9424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation901.53328
Coefficient of variation (CV)-2.9320583
Kurtosis6.9770296
Mean-307.47454
Median Absolute Deviation (MAD)0
Skewness-0.15080301
Sum-8014324
Variance812762.26
MonotonicityNot monotonic
2025-05-15T14:20:01.672752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19444
74.2%
1 56
 
0.2%
-1 41
 
0.2%
250 29
 
0.1%
-1965 16
 
0.1%
-1991 16
 
0.1%
-1945 15
 
0.1%
-2042 15
 
0.1%
-1974 15
 
0.1%
-1984 14
 
0.1%
Other values (2459) 6404
 
24.4%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-3882 1
< 0.1%
-3813 1
< 0.1%
-3246 1
< 0.1%
-3200 1
< 0.1%
-3198 1
< 0.1%
-3151 1
< 0.1%
-3133 1
< 0.1%
-3084 1
< 0.1%
-3079 1
< 0.1%
-3070 1
< 0.1%
ValueCountFrequency (%)
5542 1
< 0.1%
5537 1
< 0.1%
5528 1
< 0.1%
5527 1
< 0.1%
5496 1
< 0.1%
5456 1
< 0.1%
5445 1
< 0.1%
5438 1
< 0.1%
5435 1
< 0.1%
5431 2
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct187
Distinct (%)0.7%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1.9753693
Minimum-121
Maximum276
Zeros20132
Zeros (%)76.8%
Negative381
Negative (%)1.5%
Memory size1.4 MiB
2025-05-15T14:20:01.751270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-121
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum276
Range397
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.403505
Coefficient of variation (CV)6.785316
Kurtosis75.023712
Mean1.9753693
Median Absolute Deviation (MAD)0
Skewness7.8530938
Sum51488
Variance179.65394
MonotonicityNot monotonic
2025-05-15T14:20:01.832121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20132
76.8%
1 2905
 
11.1%
2 1189
 
4.5%
3 664
 
2.5%
-1 258
 
1.0%
4 166
 
0.6%
5 70
 
0.3%
-2 31
 
0.1%
6 21
 
0.1%
91 14
 
0.1%
Other values (177) 615
 
2.3%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-121 1
< 0.1%
-111 1
< 0.1%
-108 1
< 0.1%
-106 1
< 0.1%
-98 2
< 0.1%
-90 1
< 0.1%
-82 1
< 0.1%
-74 1
< 0.1%
-70 1
< 0.1%
-63 1
< 0.1%
ValueCountFrequency (%)
276 1
 
< 0.1%
198 1
 
< 0.1%
195 1
 
< 0.1%
189 1
 
< 0.1%
181 1
 
< 0.1%
175 2
< 0.1%
167 1
 
< 0.1%
166 3
< 0.1%
165 3
< 0.1%
164 1
 
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct680
Distinct (%)2.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean19.629158
Minimum-908
Maximum2181
Zeros23377
Zeros (%)89.2%
Negative155
Negative (%)0.6%
Memory size1.4 MiB
2025-05-15T14:20:01.910427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-908
5-th percentile0
Q10
median0
Q30
95-th percentile138.8
Maximum2181
Range3089
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.191177
Coefficient of variation (CV)4.3400322
Kurtosis67.423493
Mean19.629158
Median Absolute Deviation (MAD)0
Skewness6.3054164
Sum511634
Variance7257.5367
MonotonicityNot monotonic
2025-05-15T14:20:01.988368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23377
89.2%
1 189
 
0.7%
-1 25
 
0.1%
73 20
 
0.1%
76 19
 
0.1%
101 17
 
0.1%
106 17
 
0.1%
82 15
 
0.1%
107 15
 
0.1%
95 15
 
0.1%
Other values (670) 2356
 
9.0%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-908 1
< 0.1%
-521 1
< 0.1%
-483 1
< 0.1%
-454 1
< 0.1%
-398 1
< 0.1%
-376 1
< 0.1%
-357 1
< 0.1%
-350 1
< 0.1%
-323 1
< 0.1%
-276 1
< 0.1%
ValueCountFrequency (%)
2181 1
< 0.1%
1912 1
< 0.1%
1704 1
< 0.1%
1657 1
< 0.1%
1466 1
< 0.1%
1252 1
< 0.1%
1014 1
< 0.1%
977 1
< 0.1%
962 1
< 0.1%
957 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2629
Distinct (%)10.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-285.87002
Minimum-3882
Maximum5542
Zeros13281
Zeros (%)50.7%
Negative5167
Negative (%)19.7%
Memory size1.4 MiB
2025-05-15T14:20:02.067866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3882
5-th percentile-2232
Q10
median0
Q31
95-th percentile266
Maximum5542
Range9424
Interquartile range (IQR)1

Descriptive statistics

Standard deviation913.34841
Coefficient of variation (CV)-3.194978
Kurtosis6.893806
Mean-285.87002
Median Absolute Deviation (MAD)0
Skewness-0.099500195
Sum-7451202
Variance834205.32
MonotonicityNot monotonic
2025-05-15T14:20:02.148242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13281
50.7%
1 3034
 
11.6%
2 1179
 
4.5%
3 661
 
2.5%
-1 289
 
1.1%
4 165
 
0.6%
5 71
 
0.3%
-2 31
 
0.1%
250 28
 
0.1%
94 22
 
0.1%
Other values (2619) 7304
27.9%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-3882 1
< 0.1%
-3813 1
< 0.1%
-3246 1
< 0.1%
-3208 1
< 0.1%
-3198 1
< 0.1%
-3151 1
< 0.1%
-3133 1
< 0.1%
-3084 1
< 0.1%
-3079 1
< 0.1%
-3070 1
< 0.1%
ValueCountFrequency (%)
5542 1
< 0.1%
5537 1
< 0.1%
5528 1
< 0.1%
5527 1
< 0.1%
5496 1
< 0.1%
5456 1
< 0.1%
5445 1
< 0.1%
5438 1
< 0.1%
5435 1
< 0.1%
5431 2
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct5723
Distinct (%)22.0%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-19139.284
Minimum-25313
Maximum-13749
Zeros0
Zeros (%)0.0%
Negative26065
Negative (%)99.5%
Memory size1.4 MiB
2025-05-15T14:20:02.224656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25313
5-th percentile-24560
Q1-22418
median-18733
Q3-16515
95-th percentile-13863.4
Maximum-13749
Range11564
Interquartile range (IQR)5903

Descriptive statistics

Standard deviation3407.7542
Coefficient of variation (CV)-0.17805024
Kurtosis-1.1837473
Mean-19139.284
Median Absolute Deviation (MAD)2636
Skewness-0.22568576
Sum-4.9886544 × 108
Variance11612789
MonotonicityDecreasing
2025-05-15T14:20:02.304727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15637 595
 
2.3%
-16862 528
 
2.0%
-18839 448
 
1.7%
-20460 411
 
1.6%
-24359 408
 
1.6%
-20940 375
 
1.4%
-13762 365
 
1.4%
-16995 335
 
1.3%
-16329 329
 
1.3%
-16860 298
 
1.1%
Other values (5713) 21973
83.8%
ValueCountFrequency (%)
-25313 38
0.1%
-25312 1
 
< 0.1%
-25309 1
 
< 0.1%
-25307 1
 
< 0.1%
-25305 1
 
< 0.1%
-25302 1
 
< 0.1%
-25300 1
 
< 0.1%
-25297 1
 
< 0.1%
-25295 1
 
< 0.1%
-25292 1
 
< 0.1%
ValueCountFrequency (%)
-13749 30
 
0.1%
-13750 59
 
0.2%
-13751 1
 
< 0.1%
-13752 1
 
< 0.1%
-13754 3
 
< 0.1%
-13755 289
1.1%
-13758 1
 
< 0.1%
-13760 1
 
< 0.1%
-13761 120
 
0.5%
-13762 365
1.4%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct10249
Distinct (%)39.3%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4069115
Minimum2518574
Maximum5363432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:02.381752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2518574
5-th percentile2699388
Q13223089
median4148895
Q34853361
95-th percentile5316371.8
Maximum5363432
Range2844858
Interquartile range (IQR)1630272

Descriptive statistics

Standard deviation876081.91
Coefficient of variation (CV)0.21530036
Kurtosis-1.3014603
Mean4069115
Median Absolute Deviation (MAD)777612
Skewness-0.25447775
Sum1.0606148 × 1011
Variance7.6751952 × 1011
MonotonicityIncreasing
2025-05-15T14:20:02.461871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4466974 715
 
2.7%
4524086 700
 
2.7%
2759837 571
 
2.2%
4625624 564
 
2.2%
2699388 491
 
1.9%
5340141 461
 
1.8%
4768421 387
 
1.5%
3026092 379
 
1.4%
4819430 344
 
1.3%
3131090 293
 
1.1%
Other values (10239) 21160
80.7%
ValueCountFrequency (%)
2518574 72
0.3%
2518616 1
 
< 0.1%
2518697 1
 
< 0.1%
2518723 5
 
< 0.1%
2518792 1
 
< 0.1%
2518886 1
 
< 0.1%
2518932 29
0.1%
2518976 1
 
< 0.1%
2519116 1
 
< 0.1%
2519280 1
 
< 0.1%
ValueCountFrequency (%)
5363432 92
0.4%
5363397 1
 
< 0.1%
5363322 1
 
< 0.1%
5363250 1
 
< 0.1%
5363169 1
 
< 0.1%
5363082 1
 
< 0.1%
5362991 1
 
< 0.1%
5362895 1
 
< 0.1%
5362781 1
 
< 0.1%
5362656 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11879
Distinct (%)45.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean586779.08
Minimum363076
Maximum817513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:02.542868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum363076
5-th percentile390994
Q1479003
median591005
Q3685605
95-th percentile791635
Maximum817513
Range454437
Interquartile range (IQR)206602

Descriptive statistics

Standard deviation126899.88
Coefficient of variation (CV)0.21626518
Kurtosis-1.1398633
Mean586779.08
Median Absolute Deviation (MAD)106284
Skewness0.033247258
Sum1.5294397 × 1010
Variance1.6103581 × 1010
MonotonicityNot monotonic
2025-05-15T14:20:02.623258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604947 406
 
1.5%
435697 342
 
1.3%
508613 294
 
1.1%
573352 271
 
1.0%
744053 248
 
0.9%
454415 228
 
0.9%
791635 221
 
0.8%
514706 212
 
0.8%
667720 211
 
0.8%
596362 187
 
0.7%
Other values (11869) 23445
89.5%
ValueCountFrequency (%)
363076 1
< 0.1%
363088 1
< 0.1%
363102 1
< 0.1%
363113 1
< 0.1%
363130 1
< 0.1%
363140 1
< 0.1%
363154 1
< 0.1%
363174 1
< 0.1%
363201 1
< 0.1%
363227 1
< 0.1%
ValueCountFrequency (%)
817513 1
< 0.1%
817484 1
< 0.1%
817449 1
< 0.1%
817412 1
< 0.1%
817367 1
< 0.1%
817310 1
< 0.1%
817248 1
< 0.1%
817186 1
< 0.1%
817120 1
< 0.1%
817054 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct24738
Distinct (%)94.9%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4636754.9
Minimum2867901
Maximum6155632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:02.856305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2867901
5-th percentile3076531.4
Q13685578
median4721149
Q35516548
95-th percentile6083446.8
Maximum6155632
Range3287731
Interquartile range (IQR)1830970

Descriptive statistics

Standard deviation998484.17
Coefficient of variation (CV)0.21534116
Kurtosis-1.2875709
Mean4636754.9
Median Absolute Deviation (MAD)890811
Skewness-0.22287369
Sum1.2085702 × 1011
Variance9.9697064 × 1011
MonotonicityNot monotonic
2025-05-15T14:20:02.936022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5839167 16
 
0.1%
5255233 7
 
< 0.1%
5843395 7
 
< 0.1%
5611686 6
 
< 0.1%
6118344 6
 
< 0.1%
4535298 5
 
< 0.1%
5255231 5
 
< 0.1%
4535304 5
 
< 0.1%
5255232 5
 
< 0.1%
6116710 5
 
< 0.1%
Other values (24728) 25998
99.2%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
2867901 1
< 0.1%
2867913 1
< 0.1%
2867928 1
< 0.1%
2867938 1
< 0.1%
2867955 1
< 0.1%
2867965 1
< 0.1%
2867979 1
< 0.1%
2867999 1
< 0.1%
2868027 1
< 0.1%
2868052 1
< 0.1%
ValueCountFrequency (%)
6155632 1
< 0.1%
6155603 1
< 0.1%
6155568 1
< 0.1%
6155531 1
< 0.1%
6155486 1
< 0.1%
6155429 1
< 0.1%
6155367 1
< 0.1%
6155305 1
< 0.1%
6155239 1
< 0.1%
6155173 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct4317
Distinct (%)16.6%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-13629.115
Minimum-18158
Maximum-10131
Zeros0
Zeros (%)0.0%
Negative26065
Negative (%)99.5%
Memory size1.4 MiB
2025-05-15T14:20:03.018548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-18158
5-th percentile-17599
Q1-15972
median-13030
Q3-11753
95-th percentile-10213.4
Maximum-10131
Range8027
Interquartile range (IQR)4219

Descriptive statistics

Standard deviation2391.6544
Coefficient of variation (CV)-0.17548128
Kurtosis-1.1634279
Mean-13629.115
Median Absolute Deviation (MAD)1752
Skewness-0.39059133
Sum-3.5524287 × 108
Variance5720010.9
MonotonicityNot monotonic
2025-05-15T14:20:03.101158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13103 915
 
3.5%
-11978 846
 
3.2%
-11076 706
 
2.7%
-10136 570
 
2.2%
-14479 413
 
1.6%
-17465 408
 
1.6%
-11753 404
 
1.5%
-14817 376
 
1.4%
-17474 364
 
1.4%
-12080 360
 
1.4%
Other values (4307) 20703
79.0%
ValueCountFrequency (%)
-18158 38
0.1%
-18157 1
 
< 0.1%
-18155 1
 
< 0.1%
-18153 1
 
< 0.1%
-18150 1
 
< 0.1%
-18148 1
 
< 0.1%
-18146 1
 
< 0.1%
-18144 1
 
< 0.1%
-18141 1
 
< 0.1%
-18138 12
 
< 0.1%
ValueCountFrequency (%)
-10131 1
 
< 0.1%
-10132 110
 
0.4%
-10133 273
1.0%
-10135 2
 
< 0.1%
-10136 570
2.2%
-10137 1
 
< 0.1%
-10139 1
 
< 0.1%
-10141 1
 
< 0.1%
-10143 1
 
< 0.1%
-10145 1
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct52
Distinct (%)0.2%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean70.746365
Minimum45
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:03.182772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile49
Q158
median72
Q383
95-th percentile94
Maximum96
Range51
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.740692
Coefficient of variation (CV)0.2083597
Kurtosis-1.2177485
Mean70.746365
Median Absolute Deviation (MAD)13
Skewness-0.045921354
Sum1844004
Variance217.28799
MonotonicityIncreasing
2025-05-15T14:20:03.261187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 1119
 
4.3%
90 1107
 
4.2%
49 1059
 
4.0%
69 988
 
3.8%
76 919
 
3.5%
87 851
 
3.2%
75 844
 
3.2%
56 794
 
3.0%
78 788
 
3.0%
68 756
 
2.9%
Other values (42) 16840
64.3%
ValueCountFrequency (%)
45 81
 
0.3%
46 257
 
1.0%
47 433
 
1.7%
48 233
 
0.9%
49 1059
4.0%
50 1119
4.3%
51 671
2.6%
52 754
2.9%
53 520
2.0%
54 162
 
0.6%
ValueCountFrequency (%)
96 435
 
1.7%
95 709
2.7%
94 200
 
0.8%
93 402
 
1.5%
92 279
 
1.1%
91 334
 
1.3%
90 1107
4.2%
89 356
 
1.4%
88 316
 
1.2%
87 851
3.2%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct509
Distinct (%)2.0%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean766.80012
Minimum534
Maximum1046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:03.340460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum534
5-th percentile544
Q1640
median764
Q3899
95-th percentile1001
Maximum1046
Range512
Interquartile range (IQR)259

Descriptive statistics

Standard deviation151.03002
Coefficient of variation (CV)0.19696139
Kurtosis-1.232823
Mean766.80012
Median Absolute Deviation (MAD)129
Skewness0.16749435
Sum19986645
Variance22810.067
MonotonicityNot monotonic
2025-05-15T14:20:03.419950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
596 781
 
3.0%
665 762
 
2.9%
773 560
 
2.1%
982 467
 
1.8%
977 389
 
1.5%
819 379
 
1.4%
984 377
 
1.4%
671 341
 
1.3%
738 327
 
1.2%
851 324
 
1.2%
Other values (499) 21358
81.5%
ValueCountFrequency (%)
534 74
 
0.3%
535 16
 
0.1%
536 151
0.6%
537 145
0.6%
538 320
1.2%
539 164
0.6%
540 85
 
0.3%
541 18
 
0.1%
542 7
 
< 0.1%
543 215
0.8%
ValueCountFrequency (%)
1046 38
 
0.1%
1045 12
 
< 0.1%
1044 11
 
< 0.1%
1043 4
 
< 0.1%
1042 3
 
< 0.1%
1041 10
 
< 0.1%
1040 160
0.6%
1039 104
0.4%
1038 44
 
0.2%
1037 7
 
< 0.1%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct4161
Distinct (%)16.0%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-12790.836
Minimum-17016
Maximum-9545
Zeros0
Zeros (%)0.0%
Negative26065
Negative (%)99.5%
Memory size1.4 MiB
2025-05-15T14:20:03.497567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-17016
5-th percentile-16504
Q1-14991
median-12192
Q3-11053
95-th percentile-9619.4
Maximum-9545
Range7471
Interquartile range (IQR)3938

Descriptive statistics

Standard deviation2227.6485
Coefficient of variation (CV)-0.17415972
Kurtosis-1.1569691
Mean-12790.836
Median Absolute Deviation (MAD)1637
Skewness-0.40666925
Sum-3.3339314 × 108
Variance4962417.6
MonotonicityNot monotonic
2025-05-15T14:20:03.578142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11251 589
 
2.2%
-12256 531
 
2.0%
-10428 433
 
1.7%
-11346 430
 
1.6%
-16390 349
 
1.3%
-9550 309
 
1.2%
-16504 268
 
1.0%
-10917 259
 
1.0%
-11862 243
 
0.9%
-13886 240
 
0.9%
Other values (4151) 22414
85.5%
ValueCountFrequency (%)
-17016 38
 
0.1%
-17015 1
 
< 0.1%
-17013 1
 
< 0.1%
-17010 1
 
< 0.1%
-17008 1
 
< 0.1%
-17006 1
 
< 0.1%
-17005 1
 
< 0.1%
-17002 1
 
< 0.1%
-17001 8
 
< 0.1%
-17000 105
0.4%
ValueCountFrequency (%)
-9545 1
 
< 0.1%
-9546 67
 
0.3%
-9547 34
 
0.1%
-9548 158
0.6%
-9549 147
0.6%
-9550 309
1.2%
-9551 212
0.8%
-9552 31
 
0.1%
-9554 1
 
< 0.1%
-9556 1
 
< 0.1%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct23
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5.5499329
Minimum0
Maximum938
Zeros25419
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:03.647510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum938
Range938
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.767824
Coefficient of variation (CV)7.3456427
Kurtosis151.80199
Mean5.5499329
Median Absolute Deviation (MAD)0
Skewness10.722605
Sum144659
Variance1662.0155
MonotonicityNot monotonic
2025-05-15T14:20:03.705376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 25419
97.0%
144 257
 
1.0%
224 134
 
0.5%
220 132
 
0.5%
680 33
 
0.1%
134 19
 
0.1%
324 12
 
< 0.1%
222 12
 
< 0.1%
356 10
 
< 0.1%
276 8
 
< 0.1%
Other values (13) 29
 
0.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 25419
97.0%
126 1
 
< 0.1%
127 3
 
< 0.1%
134 19
 
0.1%
144 257
 
1.0%
154 3
 
< 0.1%
161 2
 
< 0.1%
176 2
 
< 0.1%
220 132
 
0.5%
222 12
 
< 0.1%
ValueCountFrequency (%)
938 1
 
< 0.1%
909 2
 
< 0.1%
731 1
 
< 0.1%
680 33
0.1%
640 5
 
< 0.1%
356 10
 
< 0.1%
352 6
 
< 0.1%
324 12
 
< 0.1%
315 1
 
< 0.1%
309 1
 
< 0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct26
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean27.971111
Minimum0
Maximum20024
Zeros25720
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:20:03.765840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20024
Range20024
Interquartile range (IQR)0

Descriptive statistics

Standard deviation712.41119
Coefficient of variation (CV)25.469535
Kurtosis783.00407
Mean27.971111
Median Absolute Deviation (MAD)0
Skewness27.999434
Sum729067
Variance507529.71
MonotonicityNot monotonic
2025-05-15T14:20:03.829602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 25720
98.1%
251 180
 
0.7%
252 60
 
0.2%
20024 33
 
0.1%
1 22
 
0.1%
263 16
 
0.1%
59 7
 
< 0.1%
61 4
 
< 0.1%
294 3
 
< 0.1%
80 2
 
< 0.1%
Other values (16) 18
 
0.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
0 25720
98.1%
1 22
 
0.1%
2 2
 
< 0.1%
4 2
 
< 0.1%
10 1
 
< 0.1%
22 1
 
< 0.1%
59 7
 
< 0.1%
60 1
 
< 0.1%
61 4
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
20024 33
 
0.1%
294 3
 
< 0.1%
285 1
 
< 0.1%
263 16
 
0.1%
252 60
 
0.2%
251 180
0.7%
213 1
 
< 0.1%
203 1
 
< 0.1%
198 1
 
< 0.1%
197 1
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct18
Distinct (%)0.1%
Missing143
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.56290044
Minimum-463
Maximum657
Zeros25998
Zeros (%)99.2%
Negative5
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:20:03.891224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-463
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum657
Range1120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.555333
Coefficient of variation (CV)34.740304
Kurtosis994.11238
Mean0.56290044
Median Absolute Deviation (MAD)0
Skewness29.282466
Sum14672
Variance382.41103
MonotonicityNot monotonic
2025-05-15T14:20:03.946296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 25998
99.2%
3 33
 
0.1%
649 17
 
0.1%
643 2
 
< 0.1%
486 2
 
< 0.1%
220 1
 
< 0.1%
218 1
 
< 0.1%
-223 1
 
< 0.1%
-245 1
 
< 0.1%
211 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
(Missing) 143
 
0.5%
ValueCountFrequency (%)
-463 1
 
< 0.1%
-384 1
 
< 0.1%
-245 1
 
< 0.1%
-223 1
 
< 0.1%
-25 1
 
< 0.1%
0 25998
99.2%
3 33
 
0.1%
211 1
 
< 0.1%
218 1
 
< 0.1%
220 1
 
< 0.1%
ValueCountFrequency (%)
657 1
 
< 0.1%
649 17
0.1%
643 2
 
< 0.1%
489 1
 
< 0.1%
486 2
 
< 0.1%
326 1
 
< 0.1%
261 1
 
< 0.1%
240 1
 
< 0.1%
220 1
 
< 0.1%
218 1
 
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26065 
True
 
143
ValueCountFrequency (%)
False 26065
99.5%
True 143
 
0.5%
2025-05-15T14:20:03.988908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-15T14:20:04.278902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.0000.0690.004-0.780-0.172-0.0710.0650.0680.0730.048-1.000-0.179-0.009-0.015-0.0200.039-0.754-0.735-0.711-0.086-0.549-0.226-0.042-0.0380.0360.0430.0530.0470.0490.055-0.163-1.000-1.000-0.028-0.035-0.269-0.014-0.008-0.0100.0870.0810.087-0.018-0.582-0.534-0.1280.0630.0830.0800.0810.0340.0730.0680.0930.0360.1060.1010.1150.0450.0380.0410.041-0.0370.0980.1780.145-0.116-0.115-0.159-1.000-1.000-0.517-0.217-0.266-0.192-0.0930.0490.069-0.0260.0600.0180.093-0.0470.0580.049-0.0050.046-0.6270.0040.0040.0790.089-0.0220.0470.046-0.0390.1060.0490.998-1.000-1.0000.0850.0800.087-0.024-1.000-0.992-0.719-0.093-1.000-1.0000.998-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.000-0.0690.0070.7790.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0150.021-0.0380.7520.7340.7110.0870.5500.2260.0420.039-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0290.0360.2700.0150.0090.011-0.086-0.080-0.0860.0180.5820.5350.129-0.063-0.083-0.080-0.0810.029-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.099-0.178-0.1450.1170.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.061-0.018-0.0940.048-0.058-0.0490.005-0.0460.6270.0070.007-0.078-0.0890.022-0.047-0.0460.040-0.106-0.048-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7180.0931.0001.000-0.9981.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.000-0.0690.0100.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0150.020-0.0390.7530.7350.7110.0860.5500.2260.0410.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0860.0180.5830.5350.128-0.063-0.083-0.080-0.0810.034-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5180.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.004-0.0460.6270.0100.010-0.078-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Active power limit [W]0.069-0.069-0.0691.0000.534-0.0330.0230.0070.0140.0090.022-0.017-0.0690.035-0.157-0.158-0.1530.103-0.029-0.0110.0230.1490.0960.123-0.266-0.0430.1540.1530.1530.1550.1570.1540.165-0.069-0.0690.1510.1510.1210.1480.1490.1480.1420.1350.1410.0560.0720.0770.1340.1440.1360.1370.1360.1190.0080.0100.0030.0700.1330.1290.1080.1240.1420.1020.107-0.103-0.019-0.028-0.0150.1340.1320.130-0.069-0.0690.0250.0960.1000.101-0.5200.2790.0760.0820.1350.2770.532-0.0620.1310.108-0.0070.0090.0520.5340.5340.1760.0740.0730.1470.0440.0260.1350.1210.069-0.070-0.0690.1430.1350.1420.053-0.069-0.068-0.021-0.520-0.069-0.0690.069-0.069-0.069-0.0691.000
Active power limit source0.0040.0070.0100.5341.0000.0170.0020.0390.0120.0300.4330.0000.0080.0780.0610.4330.4330.0000.5770.5770.5770.5770.5770.5770.0000.0000.5770.5770.5770.5770.5770.5770.5780.0150.0090.5770.5770.5800.5770.5770.5770.0350.0390.4330.0000.5770.5770.5770.0720.0000.0000.0000.2580.0000.0080.0000.0000.0000.5770.0570.0000.0000.0000.0000.0000.2580.2580.2580.5770.5770.5770.0080.0080.5770.5770.5770.5770.0000.1960.0000.0150.2840.8740.1500.0000.2550.0260.0000.5770.5770.9170.9170.0070.0000.0000.0000.0000.0000.0000.0000.0010.0150.0130.0340.0380.4330.0000.0080.2100.5770.0000.0090.0080.0000.0080.0060.0111.000
Ambient Temp. Avg. [°C]-0.7800.7790.780-0.0330.0171.0000.0850.096-0.193-0.206-0.173-0.1950.7800.0860.0460.0730.048-0.1080.8980.9000.8070.0050.5820.192-0.0110.027-0.139-0.151-0.159-0.151-0.149-0.1620.1390.7790.780-0.065-0.0610.252-0.083-0.091-0.089-0.194-0.196-0.174-0.0440.6640.5700.071-0.150-0.189-0.186-0.1870.030-0.202-0.203-0.194-0.144-0.217-0.221-0.202-0.148-0.091-0.120-0.0380.048-0.109-0.157-0.1260.0580.0570.1150.7800.7800.6110.1680.2360.1320.058-0.014-0.1610.054-0.071-0.016-0.0580.064-0.066-0.137-0.085-0.0300.7200.0170.017-0.161-0.1850.031-0.100-0.1180.049-0.217-0.119-0.7790.7790.781-0.191-0.196-0.175-0.0320.7800.7910.8950.0580.7800.780-0.7780.7800.7800.7801.000
Ambient WindDir Absolute Avg. [°]-0.1720.1720.1720.0230.0020.0851.000-0.007-0.051-0.064-0.073-0.0590.1720.881-0.057-0.042-0.072-0.0280.1560.1400.037-0.0090.043-0.012-0.0560.024-0.036-0.037-0.033-0.022-0.009-0.0340.0360.1720.172-0.036-0.031-0.004-0.043-0.044-0.044-0.043-0.053-0.021-0.006-0.0110.048-0.0230.025-0.047-0.046-0.0460.013-0.065-0.069-0.075-0.006-0.046-0.052-0.047-0.0110.044-0.0240.071-0.0690.021-0.007-0.000-0.030-0.031-0.0260.1720.1720.083-0.050-0.014-0.052-0.0260.049-0.0740.112-0.0170.0030.0270.016-0.0230.024-0.003-0.0100.0680.0020.0020.039-0.0900.1050.049-0.0250.015-0.0450.017-0.1670.1710.171-0.037-0.051-0.020-0.0040.1720.1930.125-0.0250.1720.172-0.1680.1720.1720.1721.000
Ambient WindDir Relative Avg. [°]-0.0710.0710.0710.0070.0390.096-0.0071.000-0.122-0.124-0.117-0.0890.071-0.0120.0540.0430.065-0.0380.1060.1070.043-0.079-0.002-0.054-0.0080.045-0.097-0.097-0.098-0.103-0.102-0.099-0.0580.0710.071-0.089-0.088-0.042-0.091-0.092-0.091-0.106-0.089-0.1190.0610.022-0.011-0.071-0.114-0.096-0.097-0.0970.040-0.106-0.093-0.109-0.046-0.104-0.092-0.112-0.047-0.059-0.001-0.0910.082-0.009-0.008-0.023-0.071-0.072-0.0630.0710.0710.057-0.048-0.029-0.051-0.0160.029-0.080-0.0010.0110.0040.016-0.017-0.003-0.1040.061-0.0050.0220.0390.039-0.112-0.0890.008-0.074-0.0310.041-0.104-0.054-0.0720.0710.072-0.106-0.089-0.1180.0620.0710.0720.106-0.0150.0710.071-0.0720.0710.0710.0711.000
Ambient WindSpeed Avg. [m/s]0.065-0.065-0.0650.0140.012-0.193-0.051-0.1221.0000.9750.9420.773-0.065-0.033-0.389-0.425-0.2720.365-0.166-0.3180.2110.7890.4800.7790.1550.0020.9320.9240.9350.9200.8720.9290.574-0.065-0.0650.8910.8900.7100.9060.9080.9080.9330.9220.8710.1680.3970.5190.8340.6960.9420.9420.9420.0200.9950.9750.8910.7570.9430.9310.8480.7430.3410.4170.177-0.1910.1400.1360.2530.8630.8640.820-0.065-0.0650.0600.7620.6510.7770.065-0.0990.812-0.3180.0480.018-0.063-0.0540.0470.7700.090-0.0530.2950.0120.0120.6620.846-0.2000.3790.489-0.2260.9440.4590.071-0.063-0.0660.9300.9230.8720.128-0.065-0.078-0.3290.063-0.065-0.0650.070-0.065-0.065-0.0651.000
Ambient WindSpeed Max. [m/s]0.068-0.068-0.0680.0090.030-0.206-0.064-0.1240.9751.0000.8720.871-0.068-0.058-0.343-0.433-0.2050.427-0.165-0.3080.2050.7780.4720.7630.152-0.0060.9130.9070.9160.9000.8480.9120.560-0.068-0.0680.8770.8760.6950.8910.8930.8930.9120.9290.8130.2310.3840.5140.8160.6590.9240.9240.9230.0250.9780.9840.8330.8000.9230.9360.7900.7820.3420.4620.107-0.1290.1400.1460.2640.8450.8460.802-0.068-0.0680.0580.7600.6410.7730.079-0.1140.804-0.3350.0270.013-0.076-0.0310.0300.7320.179-0.0560.2990.0300.0300.6200.841-0.2110.3700.498-0.1810.9240.4690.073-0.066-0.0690.9070.9290.8150.190-0.068-0.082-0.3140.077-0.068-0.0680.073-0.068-0.068-0.0681.000
Ambient WindSpeed Min. [m/s]0.073-0.073-0.0730.0220.433-0.173-0.073-0.1170.9420.8721.0000.565-0.073-0.049-0.392-0.340-0.3420.211-0.171-0.3130.1950.7310.4370.7250.147-0.0000.8710.8580.8730.8590.8160.8640.532-0.073-0.0730.8260.8220.6600.8420.8430.8430.8770.8250.8920.0140.3760.4740.7790.6730.8810.8810.8820.4470.9290.8760.9240.6000.8850.8390.8820.5920.2680.2770.271-0.2760.1250.1130.2170.8070.8070.766-0.073-0.0730.0380.7000.6010.7150.043-0.0840.755-0.2930.0680.031-0.043-0.0690.0630.733-0.051-0.0440.2560.4330.4330.6470.789-0.2050.3330.426-0.3030.8850.3700.077-0.071-0.0730.8750.8270.890-0.020-0.073-0.083-0.3270.041-0.073-0.0730.077-0.073-0.073-0.0731.000
Ambient WindSpeed StdDev [m/s]0.048-0.048-0.048-0.0170.000-0.195-0.059-0.0890.7730.8710.5651.000-0.048-0.067-0.117-0.3360.0420.575-0.128-0.2240.1740.6500.3950.6200.149-0.0130.7270.7310.7290.7150.6390.7320.481-0.048-0.0480.7120.7130.5650.7220.7250.7250.7190.8010.5340.3700.3130.4430.6620.4420.7390.7380.7360.0140.7910.8530.5660.7770.7320.7990.5230.7570.2970.517-0.0900.0660.1100.1320.2310.6760.6770.642-0.048-0.0480.0200.6480.5140.6520.104-0.1320.645-0.316-0.001-0.004-0.102-0.0050.0050.5130.370-0.0530.2840.0000.0000.4050.701-0.2000.2950.458-0.0270.7320.4390.053-0.047-0.0490.7070.7990.5390.328-0.048-0.063-0.2170.103-0.048-0.0480.053-0.048-0.048-0.0481.000
Ambient ok hours [h]-1.0001.0001.000-0.0690.0080.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7350.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.031-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0080.008-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Avg. direction [°]-0.1790.1790.1790.0350.0780.0860.881-0.012-0.033-0.058-0.049-0.0670.1791.000-0.075-0.052-0.090-0.0330.1600.1360.0460.0090.0570.005-0.0620.008-0.016-0.018-0.013-0.0020.011-0.0140.0650.1790.179-0.017-0.0110.017-0.025-0.025-0.025-0.024-0.0380.003-0.0070.0070.063-0.0060.042-0.027-0.028-0.0270.054-0.049-0.057-0.053-0.000-0.029-0.038-0.027-0.0030.047-0.0230.079-0.0770.026-0.0070.002-0.013-0.013-0.0070.1790.1790.082-0.0360.000-0.036-0.0550.079-0.0610.1130.0290.0360.058-0.0290.0280.044-0.012-0.0050.0800.0780.0780.056-0.0770.1060.053-0.0190.008-0.0280.021-0.1730.1790.179-0.018-0.0370.003-0.0070.1790.2010.120-0.0550.1790.179-0.1730.1790.1790.1791.000
Blades PitchAngle Avg. [°]-0.0090.0090.009-0.1570.0610.046-0.0570.054-0.389-0.343-0.392-0.1170.009-0.0751.0000.8770.8680.1130.0390.196-0.002-0.313-0.190-0.2780.1940.073-0.443-0.423-0.453-0.447-0.567-0.434-0.0540.0090.009-0.388-0.402-0.246-0.382-0.382-0.382-0.475-0.411-0.503-0.323-0.084-0.072-0.337-0.689-0.452-0.454-0.4550.100-0.384-0.351-0.310-0.508-0.453-0.419-0.409-0.527-0.433-0.200-0.4570.519-0.130-0.086-0.148-0.348-0.348-0.3130.0090.009-0.276-0.182-0.313-0.2160.267-0.216-0.268-0.295-0.137-0.035-0.2660.126-0.155-0.697-0.0280.0050.0080.0610.061-0.710-0.126-0.380-0.476-0.0420.147-0.454-0.288-0.0080.0070.009-0.493-0.412-0.501-0.3150.0090.0140.2640.2670.0090.009-0.0090.0090.0090.0091.000
Blades PitchAngle Max. [°]-0.0150.0150.015-0.1580.4330.073-0.0420.043-0.425-0.433-0.340-0.3360.016-0.0520.8771.0000.712-0.1610.0450.200-0.023-0.383-0.229-0.3280.1870.068-0.484-0.466-0.495-0.482-0.568-0.477-0.0980.0150.015-0.433-0.448-0.290-0.429-0.430-0.430-0.516-0.505-0.461-0.424-0.114-0.110-0.403-0.699-0.498-0.498-0.4980.447-0.427-0.442-0.247-0.670-0.495-0.510-0.345-0.691-0.495-0.313-0.3880.452-0.138-0.097-0.166-0.392-0.392-0.3560.0160.016-0.257-0.235-0.334-0.2660.250-0.199-0.276-0.311-0.111-0.021-0.2500.107-0.130-0.713-0.2110.024-0.0320.4330.433-0.707-0.166-0.419-0.503-0.1120.057-0.495-0.367-0.0150.0130.015-0.526-0.505-0.462-0.4040.0160.0220.2630.2490.0160.016-0.0150.0160.0160.0161.000
Blades PitchAngle Min. [°]-0.0200.0210.020-0.1530.4330.048-0.0720.065-0.272-0.205-0.3420.0420.021-0.0900.8680.7121.0000.2620.0520.1750.030-0.250-0.131-0.1910.1960.074-0.327-0.304-0.334-0.333-0.425-0.3160.0000.0210.020-0.277-0.287-0.161-0.275-0.275-0.274-0.353-0.243-0.459-0.069-0.045-0.012-0.261-0.672-0.330-0.334-0.3350.447-0.264-0.203-0.287-0.319-0.338-0.274-0.409-0.337-0.3410.014-0.6220.687-0.095-0.041-0.084-0.246-0.245-0.2170.0210.021-0.192-0.084-0.200-0.1140.269-0.217-0.121-0.410-0.137-0.030-0.2670.128-0.156-0.6100.041-0.0100.0450.4330.433-0.703-0.009-0.414-0.4430.0550.265-0.338-0.176-0.0200.0190.020-0.366-0.245-0.456-0.0680.0210.0220.2440.2690.0210.021-0.0210.0210.0210.0211.000
Blades PitchAngle StdDev [°]0.039-0.038-0.0390.1030.000-0.108-0.028-0.0380.3650.4270.2110.575-0.039-0.0330.113-0.1610.2621.000-0.064-0.0830.1330.4430.2970.389-0.071-0.0320.4110.4300.4020.4150.3210.4080.363-0.038-0.0390.4250.4210.3600.4290.4290.4280.4090.5170.2590.2540.2460.3040.4290.1930.4210.4210.4190.0000.3750.4610.0750.4540.4080.4920.1250.4700.4940.661-0.0480.1350.0190.0130.0730.4060.4070.389-0.039-0.039-0.0530.3650.2630.362-0.0980.0590.2750.0780.019-0.0110.098-0.0180.0280.2290.413-0.0340.2300.0000.0000.2760.3780.0630.4240.2950.3880.4080.5300.043-0.039-0.0390.3920.5130.2630.212-0.039-0.044-0.091-0.096-0.039-0.0390.043-0.039-0.039-0.0391.000
Controller Ground Temp. Avg. [°C]-0.7540.7520.753-0.0290.5770.8980.1560.106-0.166-0.165-0.171-0.1280.7530.1600.0390.0450.052-0.0641.0000.9150.759-0.0030.5510.174-0.0040.027-0.122-0.133-0.140-0.132-0.135-0.1450.1260.7520.753-0.065-0.0600.225-0.081-0.089-0.086-0.171-0.161-0.1690.0050.6110.5430.064-0.129-0.162-0.160-0.1610.224-0.175-0.166-0.191-0.102-0.192-0.186-0.198-0.106-0.060-0.077-0.0390.047-0.115-0.148-0.1210.0510.0500.1000.7530.7530.5740.1620.2330.1290.055-0.014-0.1520.066-0.062-0.011-0.0550.053-0.054-0.116-0.018-0.0300.6760.5770.577-0.140-0.1730.051-0.069-0.1050.061-0.191-0.090-0.7510.7520.754-0.169-0.161-0.1690.0150.7530.7650.8900.0560.7530.753-0.7500.7530.7530.7531.000
Controller Hub Temp. Avg. [°C]-0.7350.7340.735-0.0110.5770.9000.1400.107-0.318-0.308-0.313-0.2240.7350.1360.1960.2000.175-0.0830.9151.0000.718-0.1070.4760.067-0.0340.024-0.263-0.273-0.283-0.269-0.289-0.2840.0860.7340.735-0.197-0.1880.136-0.217-0.225-0.223-0.312-0.294-0.312-0.0330.5490.486-0.051-0.272-0.304-0.302-0.3040.224-0.327-0.316-0.318-0.260-0.329-0.321-0.318-0.259-0.145-0.139-0.1080.127-0.142-0.171-0.157-0.072-0.072-0.0120.7350.7350.4690.0350.067-0.0070.0190.021-0.2680.074-0.044-0.011-0.0200.035-0.040-0.272-0.031-0.0000.6520.5770.577-0.277-0.2700.035-0.161-0.1450.097-0.329-0.161-0.7320.7330.735-0.315-0.295-0.312-0.0180.7350.7460.9860.0200.7340.735-0.7310.7350.7340.7341.000
Controller Top Temp. Avg. [°C]-0.7110.7110.7110.0230.5770.8070.0370.0430.2110.2050.1950.1740.7110.046-0.002-0.0230.0300.1330.7590.7181.0000.4550.8860.595-0.0230.0370.2910.2800.2670.2720.2210.2680.4640.7110.7110.3870.3900.6230.3650.3570.3590.2150.2140.195-0.0160.9330.8810.4870.1010.2240.2280.2260.2240.2050.2120.1690.1750.1960.1960.1690.1650.0420.085-0.0110.020-0.051-0.094-0.0110.4790.4780.5230.7110.7110.5530.5920.5340.5530.0180.0090.213-0.138-0.056-0.019-0.0180.049-0.0660.142-0.003-0.0870.9410.5770.5770.0840.232-0.1280.0510.127-0.0220.1960.098-0.7070.7100.7110.2120.2140.197-0.0230.7110.7120.7240.0190.7110.711-0.7060.7110.7110.7111.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.0860.0870.0860.1490.5770.005-0.009-0.0790.7890.7780.7310.6500.0870.009-0.313-0.383-0.2500.443-0.003-0.1070.4551.0000.7300.870-0.072-0.0420.8730.8690.8620.8580.7740.8680.6690.0870.0860.9210.9250.8280.9110.9120.9110.8160.8010.7550.1010.6290.7100.8950.6380.8240.8260.8250.2260.7900.7870.6800.6560.8190.8140.7240.6590.3680.3720.231-0.2370.0600.0370.1540.8820.8810.8690.0870.0870.2050.8420.7190.848-0.1420.1020.656-0.1610.0900.0230.143-0.0840.0840.6790.130-0.0830.5510.5770.5770.6370.713-0.0940.4120.409-0.1590.8200.451-0.0790.0880.0850.8080.8010.7570.0630.0870.078-0.110-0.1420.0870.087-0.0780.0870.0870.0871.000
Controller VCP Temp. Avg. [°C]-0.5490.5500.5500.0960.5770.5820.043-0.0020.4800.4720.4370.3950.5500.057-0.190-0.229-0.1310.2970.5510.4760.8860.7301.0000.826-0.0680.0210.5870.5790.5640.5700.5100.5670.6190.5500.5500.6790.6820.8280.6620.6560.6570.5060.4970.4650.0600.9400.9450.7500.3720.5100.5130.5120.2240.4750.4810.3840.4220.4900.4880.4180.4140.2550.2630.123-0.113-0.005-0.0460.0690.7430.7410.7690.5500.5500.5630.7850.7280.763-0.0640.0600.428-0.126-0.019-0.0120.0630.022-0.0450.4130.074-0.0960.9170.5770.5770.3730.451-0.0940.2790.261-0.0590.4900.314-0.5430.5500.5490.5010.4980.4680.0380.5500.5460.474-0.0630.5500.550-0.5420.5500.5500.5501.000
Controller VCP WaterTemp. Avg. [°C]-0.2260.2260.2260.1230.5770.192-0.012-0.0540.7790.7630.7250.6200.2260.005-0.278-0.328-0.1910.3890.1740.0670.5950.8700.8261.000-0.071-0.0060.8620.8570.8460.8450.7750.8470.7070.2260.2260.9070.9030.9740.9140.9090.9100.8020.7890.7450.0810.7530.8300.9670.5770.8090.8110.8100.2240.7770.7740.6780.6370.8040.7930.7150.6280.3330.3820.159-0.1540.0610.0390.1680.9720.9710.9820.2260.2260.3460.8950.7990.892-0.0970.0770.709-0.2770.0270.0020.097-0.0180.0010.6350.071-0.1020.6800.5770.5770.5690.749-0.2020.3690.431-0.1500.8040.444-0.2190.2270.2250.7980.7900.7470.0480.2260.2190.072-0.0950.2260.226-0.2180.2260.2260.2261.000
First Alarm parameter 1 in 10 min frame-0.0420.0420.041-0.2660.000-0.011-0.056-0.0080.1550.1520.1470.1490.042-0.0620.1940.1870.196-0.071-0.004-0.034-0.023-0.072-0.068-0.0711.0000.374-0.104-0.100-0.101-0.129-0.143-0.083-0.1180.0420.042-0.058-0.065-0.078-0.056-0.054-0.054-0.146-0.092-0.1680.016-0.070-0.039-0.086-0.127-0.115-0.118-0.1170.0000.1540.1270.141-0.088-0.108-0.090-0.129-0.091-0.128-0.053-0.1150.1090.0250.0310.015-0.083-0.083-0.0820.0420.042-0.069-0.020-0.075-0.0240.726-0.688-0.062-0.102-0.0880.003-0.7210.004-0.195-0.1140.011-0.017-0.0640.0000.000-0.197-0.045-0.095-0.131-0.032-0.038-0.108-0.108-0.0410.0420.042-0.147-0.093-0.1690.0160.0420.037-0.0300.7210.0420.042-0.0410.0420.0420.0421.000
First Alarm parameter 2 in 10 min frame-0.0380.0390.038-0.0430.0000.0270.0240.0450.002-0.006-0.000-0.0130.0380.0080.0730.0680.074-0.0320.0270.0240.037-0.0420.021-0.0060.3741.000-0.040-0.037-0.036-0.047-0.049-0.037-0.0430.0390.038-0.039-0.042-0.036-0.035-0.036-0.036-0.062-0.048-0.067-0.0270.004-0.005-0.023-0.071-0.058-0.058-0.0580.0000.0040.0030.0000.011-0.045-0.038-0.036-0.0470.0110.0040.0060.0020.0220.0200.016-0.020-0.026-0.0300.0380.0380.033-0.015-0.009-0.0150.271-0.012-0.028-0.036-0.2020.001-0.2690.007-0.2680.023-0.015-0.0170.0040.0000.000-0.063-0.025-0.0320.014-0.034-0.022-0.0450.008-0.0390.0390.039-0.062-0.049-0.067-0.0240.0380.0380.0320.2720.0390.038-0.0390.0380.0380.0381.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.036-0.036-0.0360.1540.577-0.139-0.036-0.0970.9320.9130.8710.727-0.036-0.016-0.443-0.484-0.3270.411-0.122-0.2630.2910.8730.5870.862-0.104-0.0401.0000.9940.9960.9910.9450.9940.679-0.036-0.0360.9660.9670.8040.9740.9740.9750.9740.9530.9120.1620.4990.6100.9070.7300.9770.9780.9780.2690.9320.9240.8260.7840.9750.9620.8730.7860.4020.4600.200-0.2130.1230.1150.2430.9340.9340.898-0.036-0.0360.1380.8300.7340.845-0.1800.1420.843-0.2930.1090.0270.180-0.1030.1040.7910.095-0.0520.3980.5770.5770.7230.870-0.1870.4440.498-0.2010.9760.5140.042-0.035-0.0370.9710.9530.9130.123-0.036-0.048-0.274-0.179-0.036-0.0360.042-0.036-0.036-0.0361.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.043-0.043-0.0430.1530.577-0.151-0.037-0.0970.9240.9070.8580.731-0.043-0.018-0.423-0.466-0.3040.430-0.133-0.2730.2800.8690.5790.857-0.100-0.0370.9941.0000.9920.9900.9440.9920.682-0.043-0.0430.9660.9670.8000.9730.9740.9740.9680.9500.9040.1630.4900.6040.8990.7000.9670.9680.9680.3520.9240.9210.8090.7810.9660.9570.8570.7830.4150.4830.177-0.1830.1210.1140.2420.9290.9300.894-0.043-0.0430.1310.8280.7320.844-0.1750.1400.844-0.3040.1080.0250.176-0.1030.1000.7620.106-0.0520.3900.5770.5770.7030.872-0.2010.4560.500-0.1760.9670.5300.049-0.041-0.0440.9660.9500.9050.123-0.043-0.055-0.283-0.175-0.043-0.0430.049-0.043-0.043-0.0431.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.053-0.053-0.0530.1530.577-0.159-0.033-0.0980.9350.9160.8730.729-0.053-0.013-0.453-0.495-0.3340.402-0.140-0.2830.2670.8620.5640.846-0.101-0.0360.9960.9921.0000.9900.9500.9940.673-0.053-0.0530.9590.9600.7870.9660.9670.9670.9760.9540.9150.1630.4740.5860.8940.7300.9780.9790.9790.4270.9350.9270.8300.7940.9760.9630.8760.7940.3980.4550.202-0.2160.1290.1220.2480.9230.9230.885-0.053-0.0530.1260.8140.7190.831-0.1750.1380.844-0.2970.1040.0250.175-0.0990.0980.7950.092-0.0490.3730.5770.5770.7210.868-0.1860.4400.496-0.2060.9770.5080.059-0.052-0.0540.9740.9540.9160.123-0.053-0.065-0.295-0.174-0.053-0.0530.059-0.053-0.053-0.0531.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.047-0.047-0.0470.1550.577-0.151-0.022-0.1030.9200.9000.8590.715-0.047-0.002-0.447-0.482-0.3330.415-0.132-0.2690.2720.8580.5700.845-0.129-0.0470.9910.9900.9901.0000.9560.9870.682-0.047-0.0470.9570.9590.7890.9630.9630.9630.9740.9480.9170.1510.4800.5930.8890.7210.9690.9710.9710.3100.9190.9120.8100.7800.9690.9550.8670.7820.4200.4710.202-0.2100.1260.1180.2450.9200.9210.883-0.047-0.0470.1240.8080.7150.823-0.2020.1590.842-0.2880.1130.0310.202-0.1050.1170.7750.096-0.0470.3820.5770.5770.7260.866-0.1870.4620.495-0.1880.9700.5280.053-0.045-0.0480.9720.9480.9170.112-0.047-0.058-0.281-0.201-0.047-0.0470.053-0.047-0.047-0.0471.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.049-0.049-0.0490.1570.577-0.149-0.009-0.1020.8720.8480.8160.639-0.0490.011-0.567-0.568-0.4250.321-0.135-0.2890.2210.7740.5100.775-0.143-0.0490.9450.9440.9500.9561.0000.9440.631-0.049-0.0490.9100.9130.7230.9080.9090.9090.9400.9030.9100.1450.4120.5180.8120.7120.9220.9240.9240.4270.8690.8600.7610.7960.9230.9070.8250.7990.4370.4750.204-0.2170.1510.1400.2650.8610.8630.821-0.049-0.0490.1840.7430.6960.764-0.2130.1700.842-0.2850.1130.0310.214-0.1040.1180.7590.075-0.0520.3140.5770.5770.7260.818-0.1870.4780.450-0.1740.9230.5160.054-0.047-0.0500.9480.9030.9100.110-0.049-0.061-0.307-0.213-0.049-0.0490.054-0.049-0.049-0.0491.000
Gear Oil TemperatureBasis Avg. [°C]0.055-0.054-0.0540.1540.577-0.162-0.034-0.0990.9290.9120.8640.732-0.054-0.014-0.434-0.477-0.3160.408-0.145-0.2840.2680.8680.5670.847-0.083-0.0370.9940.9920.9940.9870.9441.0000.678-0.054-0.0540.9650.9650.7900.9710.9720.9720.9640.9450.9000.1690.4760.5920.8920.7130.9670.9680.9680.5050.9300.9230.8220.7810.9650.9540.8620.7820.3910.4610.183-0.1970.1240.1190.2440.9210.9210.885-0.054-0.0540.1200.8210.7210.837-0.1610.1240.841-0.3030.1050.0260.162-0.0990.0960.7780.099-0.0520.3760.5770.5770.7070.867-0.1960.4320.496-0.1970.9650.5060.060-0.053-0.0550.9610.9460.9010.130-0.054-0.066-0.294-0.160-0.054-0.0540.060-0.054-0.054-0.0541.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.1630.1640.1640.1650.5780.1390.036-0.0580.5740.5600.5320.4810.1640.065-0.054-0.0980.0000.3630.1260.0860.4640.6690.6190.707-0.118-0.0430.6790.6820.6730.6820.6310.6781.0000.1640.1640.7030.7030.7090.6880.6880.6880.6210.6200.5850.0530.5830.6690.6820.3080.6150.6170.6160.4850.5650.5710.5060.4390.6050.6070.5400.4450.1780.326-0.0120.0370.0290.0270.1240.6990.7010.7060.1640.1640.1840.6950.5800.688-0.1920.1590.583-0.3300.1080.0270.193-0.1090.1100.3560.054-0.0610.5700.5780.5780.3230.638-0.2920.1980.364-0.0490.6050.315-0.1560.1630.1620.6190.6210.5870.0190.1640.1590.097-0.1920.1640.164-0.1560.1640.1640.1641.000
Generator 1 hours [h]-1.0001.0001.000-0.0690.0150.7790.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0150.021-0.0380.7520.7340.7110.0870.5500.2260.0420.039-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0290.0360.2700.0150.0090.011-0.086-0.080-0.0860.0180.5820.5350.129-0.063-0.083-0.080-0.0810.029-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.099-0.178-0.1450.1170.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.061-0.018-0.0940.048-0.058-0.0490.005-0.0460.6270.0150.015-0.078-0.0890.022-0.047-0.0460.040-0.106-0.048-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7180.0931.0001.000-0.9981.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.000-0.0690.0090.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0150.020-0.0390.7530.7350.7110.0860.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0860.0180.5830.5350.128-0.063-0.083-0.080-0.0810.034-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5180.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.004-0.0460.6270.0090.009-0.078-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.0280.0290.0280.1510.577-0.065-0.036-0.0890.8910.8770.8260.7120.028-0.017-0.388-0.433-0.2770.425-0.065-0.1970.3870.9210.6790.907-0.058-0.0390.9660.9660.9590.9570.9100.9650.7030.0290.0281.0000.9970.8670.9920.9930.9930.9180.9040.8590.1420.5830.6900.9260.6680.9200.9220.9210.2250.8920.8880.7760.7470.9160.9100.8100.7480.3900.4710.152-0.1590.1080.0950.2260.9510.9520.9310.0280.0280.2060.8890.7790.900-0.1350.0960.823-0.3090.0950.0240.136-0.0900.0880.7220.115-0.0650.4930.5770.5770.6670.847-0.2230.4290.487-0.1590.9170.508-0.0210.0300.0270.9160.9050.8610.1040.0280.016-0.200-0.1350.0290.028-0.0210.0280.0280.0281.000
Generator Bearing2 Temp. Avg. [°C]-0.0350.0360.0350.1510.577-0.061-0.031-0.0880.8900.8760.8220.7130.035-0.011-0.402-0.448-0.2870.421-0.060-0.1880.3900.9250.6820.903-0.065-0.0420.9670.9670.9600.9590.9130.9650.7030.0360.0350.9971.0000.8630.9890.9900.9890.9200.9060.8590.1550.5830.6900.9220.6730.9200.9220.9210.2270.8900.8870.7720.7550.9160.9110.8080.7560.3940.4740.155-0.1630.1110.0980.2290.9470.9480.9270.0350.0350.2080.8830.7720.894-0.1430.1030.821-0.3020.1000.0240.144-0.0930.0920.7280.120-0.0630.4960.5770.5770.6730.841-0.2130.4320.485-0.1590.9170.510-0.0280.0370.0340.9180.9060.8610.1170.0350.023-0.192-0.1430.0360.035-0.0280.0350.0360.0351.000
Generator CoolingWater Temp. Avg. [°C]-0.2690.2700.2700.1210.5800.252-0.004-0.0420.7100.6950.6600.5650.2700.017-0.246-0.290-0.1610.3600.2250.1360.6230.8280.8280.974-0.078-0.0360.8040.8000.7870.7890.7230.7900.7090.2700.2700.8670.8631.0000.8690.8640.8650.7370.7280.6820.0890.7700.8390.9300.5140.7430.7450.7440.2740.7070.7050.6150.5770.7350.7270.6470.5770.2890.3600.104-0.1000.0470.0240.1490.9380.9400.9650.2700.2700.3620.8690.7770.862-0.1210.0970.667-0.2780.0670.0180.122-0.0600.0580.5660.064-0.0920.7090.5800.5800.5070.699-0.2090.3170.413-0.1250.7350.406-0.2620.2710.2690.7320.7280.6830.0600.2700.2640.144-0.1210.2700.270-0.2610.2700.2700.2701.000
Generator Phase1 Temp. Avg. [°C]-0.0140.0150.0140.1480.577-0.083-0.043-0.0910.9060.8910.8420.7220.014-0.025-0.382-0.429-0.2750.429-0.081-0.2170.3650.9110.6620.914-0.056-0.0350.9740.9730.9660.9630.9080.9710.6880.0150.0140.9920.9890.8691.0000.9990.9990.9300.9160.8690.1330.5670.6750.9400.6850.9350.9370.9360.2240.9070.9020.7950.7520.9320.9230.8280.7510.3910.4680.164-0.1710.1120.0990.2290.9630.9630.9390.0140.0140.1930.8860.7800.898-0.1250.0850.834-0.3130.0810.0200.125-0.0730.0700.7390.110-0.0730.4700.5770.5770.6800.862-0.2260.4300.495-0.1750.9330.511-0.0080.0160.0130.9270.9160.8710.0950.0140.002-0.220-0.1240.0150.014-0.0070.0140.0140.0141.000
Generator Phase2 Temp. Avg. [°C]-0.0080.0090.0090.1490.577-0.091-0.044-0.0920.9080.8930.8430.7250.009-0.025-0.382-0.430-0.2750.429-0.089-0.2250.3570.9120.6560.909-0.054-0.0360.9740.9740.9670.9630.9090.9720.6880.0090.0090.9930.9900.8640.9991.0001.0000.9300.9170.8690.1360.5600.6690.9370.6850.9360.9370.9370.2240.9090.9030.7960.7530.9330.9240.8280.7520.3890.4670.163-0.1710.1120.0990.2290.9590.9600.9360.0090.0090.1880.8840.7780.897-0.1240.0840.833-0.3130.0830.0210.125-0.0750.0730.7400.111-0.0710.4630.5770.5770.6800.862-0.2240.4290.495-0.1750.9330.509-0.0020.0110.0080.9270.9170.8700.0980.009-0.003-0.228-0.1240.0090.009-0.0020.0090.0090.0091.000
Generator Phase3 Temp. Avg. [°C]-0.0100.0110.0110.1480.577-0.089-0.044-0.0910.9080.8930.8430.7250.011-0.025-0.382-0.430-0.2740.428-0.086-0.2230.3590.9110.6570.910-0.054-0.0360.9750.9740.9670.9630.9090.9720.6880.0110.0110.9930.9890.8650.9991.0001.0000.9310.9170.8690.1370.5620.6710.9370.6850.9360.9380.9370.2240.9090.9040.7960.7530.9330.9250.8290.7520.3880.4670.162-0.1700.1110.0980.2290.9600.9610.9370.0110.0110.1890.8850.7790.897-0.1240.0840.833-0.3140.0830.0210.124-0.0750.0730.7400.110-0.0720.4650.5770.5770.6790.862-0.2240.4280.495-0.1750.9340.508-0.0040.0130.0100.9280.9170.8700.0990.011-0.001-0.226-0.1230.0110.011-0.0030.0110.0110.0111.000
Generator RPM Avg. [RPM]0.087-0.086-0.0860.1420.035-0.194-0.043-0.1060.9330.9120.8770.719-0.086-0.024-0.475-0.516-0.3530.409-0.171-0.3120.2150.8160.5060.802-0.146-0.0620.9740.9680.9760.9740.9400.9640.621-0.086-0.0860.9180.9200.7370.9300.9300.9311.0000.9660.9350.1680.4240.5310.8610.7360.9830.9840.9840.0290.9300.9250.8210.7970.9830.9700.8800.8000.4180.4580.222-0.2310.1350.1290.2520.8930.8940.847-0.086-0.0860.0930.7690.6840.786-0.2180.1720.838-0.2750.1260.0360.219-0.1150.1390.7880.098-0.0440.3180.0350.0350.7360.862-0.1640.4580.490-0.1940.9830.5180.091-0.085-0.0870.9930.9650.9360.127-0.086-0.098-0.326-0.218-0.086-0.0860.091-0.086-0.086-0.0861.000
Generator RPM Max. [RPM]0.081-0.080-0.0800.1350.039-0.196-0.053-0.0890.9220.9290.8250.801-0.080-0.038-0.411-0.505-0.2430.517-0.161-0.2940.2140.8010.4970.789-0.092-0.0480.9530.9500.9540.9480.9030.9450.620-0.080-0.0800.9040.9060.7280.9160.9170.9170.9661.0000.8580.3050.4140.5310.8440.6690.9710.9700.9700.0310.9230.9450.7620.8330.9670.9860.8010.8410.4150.5600.104-0.1130.1340.1350.2570.8770.8780.833-0.080-0.0800.0830.7710.6740.786-0.1670.1220.830-0.2970.1030.0250.168-0.1000.1140.7430.191-0.0480.3230.0390.0390.6670.862-0.1750.4310.518-0.1000.9660.5340.086-0.079-0.0810.9600.9990.8590.263-0.080-0.094-0.304-0.166-0.080-0.0800.085-0.080-0.080-0.0801.000
Generator RPM Min. [RPM]0.087-0.086-0.0860.1410.433-0.174-0.021-0.1190.8710.8130.8920.534-0.0870.003-0.503-0.461-0.4590.259-0.169-0.3120.1950.7550.4650.745-0.168-0.0670.9120.9040.9150.9170.9100.9000.585-0.086-0.0860.8590.8590.6820.8690.8690.8690.9350.8581.000-0.0380.3980.4870.7980.7210.9150.9170.9180.4470.8620.8260.8420.6870.9190.8730.9170.6860.3680.3370.342-0.3360.1350.1210.2370.8350.8360.792-0.087-0.0870.1070.7120.6460.730-0.2390.1910.806-0.2540.1270.0320.238-0.1190.1440.743-0.016-0.0450.2810.4330.4330.7450.810-0.1990.4490.425-0.2810.9190.4490.091-0.085-0.0870.9430.8590.997-0.074-0.087-0.096-0.332-0.239-0.086-0.0870.091-0.087-0.086-0.0871.000
Generator RPM StdDev [RPM]-0.0180.0180.0180.0560.000-0.044-0.0060.0610.1680.2310.0140.3700.018-0.007-0.323-0.424-0.0690.2540.005-0.033-0.0160.1010.0600.0810.016-0.0270.1620.1630.1630.1510.1450.1690.0530.0180.0180.1420.1550.0890.1330.1360.1370.1680.305-0.0381.000-0.0100.0130.0820.1010.1850.1820.1790.0000.1720.239-0.0310.3480.1650.248-0.0600.3650.1350.435-0.2450.1910.0260.0360.0540.1020.1050.0940.0180.0180.0650.0640.0970.074-0.0430.0110.0680.0820.054-0.0010.044-0.0620.0620.2280.3140.033-0.0000.0000.0000.1010.0120.2270.0550.1350.2100.1650.153-0.0170.0190.0180.1520.305-0.0380.9850.0180.008-0.058-0.0430.0180.018-0.0160.0180.0180.0181.000
Generator SlipRing Temp. Avg. [°C]-0.5820.5820.5830.0720.5770.664-0.0110.0220.3970.3840.3760.3130.5820.007-0.084-0.114-0.0450.2460.6110.5490.9330.6290.9400.753-0.0700.0040.4990.4900.4740.4800.4120.4760.5830.5820.5830.5830.5830.7700.5670.5600.5620.4240.4140.398-0.0101.0000.9460.6700.2610.4310.4340.4330.2240.3910.3930.3370.3180.4040.4000.3600.3180.1430.1780.057-0.045-0.023-0.0610.0430.6640.6630.6980.5820.5820.5030.7400.6690.708-0.0770.0820.381-0.1720.0210.0020.077-0.0230.0100.3010.018-0.1000.9480.5770.5770.2540.415-0.1530.1660.224-0.0570.4050.216-0.5780.5820.5820.4180.4130.399-0.0290.5820.5790.554-0.0760.5820.582-0.5770.5820.5820.5821.000
Grid Busbar Temp. Avg. [°C]-0.5340.5350.5350.0770.5770.5700.048-0.0110.5190.5140.4740.4430.5350.063-0.072-0.110-0.0120.3040.5430.4860.8810.7100.9450.830-0.039-0.0050.6100.6040.5860.5930.5180.5920.6690.5350.5350.6900.6900.8390.6750.6690.6710.5310.5310.4870.0130.9461.0000.7500.3040.5430.5470.5450.2240.5140.5170.4440.3930.5190.5160.4560.3920.1660.2550.016-0.003-0.007-0.0340.0820.7580.7580.7850.5350.5350.4830.8310.7260.801-0.0540.0510.504-0.2710.022-0.0020.054-0.0230.0070.3490.045-0.1150.9430.5770.5770.2910.547-0.2370.1910.312-0.0730.5190.279-0.5280.5350.5340.5270.5320.490-0.0080.5350.5330.497-0.0540.5350.535-0.5270.5350.5350.5351.000
Grid InverterPhase1 Temp. Avg. [°C]-0.1280.1290.1280.1340.5770.071-0.023-0.0710.8340.8160.7790.6620.128-0.006-0.337-0.403-0.2610.4290.064-0.0510.4870.8950.7500.967-0.086-0.0230.9070.8990.8940.8890.8120.8920.6820.1290.1280.9260.9220.9300.9400.9370.9370.8610.8440.7980.0820.6700.7501.0000.6770.8710.8730.8720.2240.8330.8270.7270.6860.8700.8560.7760.6810.3820.3760.251-0.2550.0730.0490.1770.9780.9750.9700.1280.1280.2650.8690.7700.872-0.1290.1010.712-0.2060.0580.0100.129-0.0480.0380.7270.091-0.0960.5790.5770.5770.6650.766-0.1260.4250.427-0.1770.8700.470-0.1220.1300.1270.8560.8440.8000.0460.1280.120-0.054-0.1280.1290.128-0.1210.1280.1280.1281.000
Grid Production CosPhi Avg.0.063-0.063-0.0630.1440.072-0.1500.025-0.1140.6960.6590.6730.442-0.0630.042-0.689-0.699-0.6720.193-0.129-0.2720.1010.6380.3720.577-0.127-0.0710.7300.7000.7300.7210.7120.7130.308-0.063-0.0630.6680.6730.5140.6850.6850.6850.7360.6690.7210.1010.2610.3040.6771.0000.7430.7440.7450.0200.6950.6460.6030.6390.7510.7020.6950.6490.4370.1630.587-0.6660.1130.0690.1620.6530.6520.610-0.063-0.0630.1190.4610.4600.487-0.1940.1440.4680.2230.1050.0330.195-0.0920.1140.8820.066-0.0200.1510.0720.0720.9300.4540.2800.4890.276-0.3500.7510.3780.067-0.061-0.0630.7310.6700.7220.080-0.063-0.069-0.323-0.194-0.063-0.0630.067-0.063-0.063-0.0631.000
Grid Production CurrentPhase1 Avg. [A]0.083-0.083-0.0830.1360.000-0.189-0.047-0.0960.9420.9240.8810.739-0.083-0.027-0.452-0.498-0.3300.421-0.162-0.3040.2240.8240.5100.809-0.115-0.0580.9770.9670.9780.9690.9220.9670.615-0.083-0.0830.9200.9200.7430.9350.9360.9360.9830.9710.9150.1850.4310.5430.8710.7431.0000.9990.9990.0000.9440.9370.8370.7950.9900.9780.8800.8030.3970.4640.206-0.2150.1260.1220.2450.8980.8990.853-0.083-0.0830.0850.7830.6870.798-0.1850.1440.837-0.2820.1170.0330.186-0.1100.1300.8040.104-0.0460.3290.0000.0000.7220.871-0.1640.4350.505-0.2020.9900.5060.088-0.082-0.0840.9780.9700.9140.148-0.083-0.094-0.317-0.184-0.083-0.0830.088-0.083-0.083-0.0831.000
Grid Production CurrentPhase2 Avg. [A]0.080-0.080-0.0800.1370.000-0.186-0.046-0.0970.9420.9240.8810.738-0.080-0.028-0.454-0.498-0.3340.421-0.160-0.3020.2280.8260.5130.811-0.118-0.0580.9780.9680.9790.9710.9240.9680.617-0.080-0.0800.9220.9220.7450.9370.9370.9380.9840.9700.9170.1820.4340.5470.8730.7440.9991.0000.9990.0000.9440.9360.8370.7940.9910.9780.8820.8030.3990.4650.208-0.2170.1240.1200.2440.9000.9010.855-0.080-0.0800.0890.7850.6890.800-0.1870.1460.839-0.2810.1160.0330.188-0.1090.1290.8040.102-0.0460.3320.0000.0000.7260.872-0.1650.4380.505-0.2030.9910.5080.085-0.078-0.0810.9790.9700.9170.145-0.080-0.091-0.316-0.186-0.080-0.0800.085-0.080-0.080-0.0801.000
Grid Production CurrentPhase3 Avg. [A]0.081-0.081-0.0810.1360.000-0.187-0.046-0.0970.9420.9230.8820.736-0.081-0.027-0.455-0.498-0.3350.419-0.161-0.3040.2260.8250.5120.810-0.117-0.0580.9780.9680.9790.9710.9240.9680.616-0.081-0.0810.9210.9210.7440.9360.9370.9370.9840.9700.9180.1790.4330.5450.8720.7450.9990.9991.0000.0000.9440.9360.8380.7940.9900.9780.8820.8030.4000.4630.211-0.2200.1240.1200.2430.9000.9000.854-0.081-0.0810.0870.7840.6880.799-0.1860.1470.839-0.2800.1180.0330.187-0.1110.1310.8050.101-0.0460.3300.0000.0000.7270.872-0.1640.4380.505-0.2040.9910.5080.086-0.079-0.0810.9790.9690.9180.143-0.081-0.092-0.318-0.185-0.081-0.0810.085-0.081-0.081-0.0811.000
Grid Production Frequency Avg. [Hz]0.0340.0290.0340.1190.2580.0300.0130.0400.0200.0250.4470.0140.0310.0540.1000.4470.4470.0000.2240.2240.2240.2260.2240.2240.0000.0000.2690.3520.4270.3100.4270.5050.4850.0290.0340.2250.2270.2740.2240.2240.2240.0290.0310.4470.0000.2240.2240.2240.0200.0000.0000.0001.0000.0000.0000.0110.0000.0000.2230.0240.0000.0000.0000.0100.0001.0001.0001.0000.2240.2240.2240.0320.0320.2240.2240.2240.2240.0600.1030.0000.0000.1410.2410.0700.1110.1250.0100.0000.4670.2240.2580.2580.0000.0000.0000.0000.0000.0000.0000.0000.0390.0310.0310.0290.0310.4470.0000.0310.0510.2240.0750.0290.0330.0390.0320.0300.0351.000
Grid Production PossiblePower Avg. [W]0.073-0.073-0.0730.0080.000-0.202-0.065-0.1060.9950.9780.9290.791-0.073-0.049-0.384-0.427-0.2640.375-0.175-0.3270.2050.7900.4750.7770.1540.0040.9320.9240.9350.9190.8690.9300.565-0.073-0.0730.8920.8900.7070.9070.9090.9090.9300.9230.8620.1720.3910.5140.8330.6950.9440.9440.9440.0001.0000.9830.8900.7680.9460.9360.8460.7510.3430.4250.170-0.1850.1410.1390.2560.8620.8630.818-0.073-0.0730.0570.7640.6510.7790.072-0.1020.814-0.3220.0390.015-0.070-0.0460.0390.7690.093-0.0550.2890.0000.0000.6590.849-0.2020.3800.492-0.2220.9460.4620.078-0.071-0.0740.9260.9240.8630.134-0.073-0.086-0.3360.070-0.073-0.0730.078-0.073-0.073-0.0731.000
Grid Production PossiblePower Max. [W]0.068-0.068-0.0680.0100.008-0.203-0.069-0.0930.9750.9840.8760.853-0.068-0.057-0.351-0.442-0.2030.461-0.166-0.3160.2120.7870.4810.7740.1270.0030.9240.9210.9270.9120.8600.9230.571-0.068-0.0680.8880.8870.7050.9020.9030.9040.9250.9450.8260.2390.3930.5170.8270.6460.9370.9360.9360.0000.9831.0000.8300.8290.9360.9550.7950.8070.3730.5030.100-0.1100.1430.1450.2640.8570.8570.813-0.068-0.0680.0640.7690.6530.7830.066-0.0880.815-0.3360.0230.014-0.064-0.0300.0250.7370.174-0.0590.3000.0080.0080.6200.851-0.2090.3970.509-0.1380.9360.5020.073-0.067-0.0690.9200.9450.8280.198-0.068-0.082-0.3210.065-0.068-0.0680.073-0.068-0.068-0.0681.000
Grid Production PossiblePower Min. [W]0.093-0.093-0.0930.0030.000-0.194-0.075-0.1090.8910.8330.9240.566-0.093-0.053-0.310-0.247-0.2870.075-0.191-0.3180.1690.6800.3840.6780.1410.0000.8260.8090.8300.8100.7610.8220.506-0.093-0.0930.7760.7720.6150.7950.7960.7960.8210.7620.842-0.0310.3370.4440.7270.6030.8370.8370.8380.0110.8900.8301.0000.5400.8410.7870.9300.5270.0950.1620.197-0.2270.1140.1200.2150.7560.7560.719-0.093-0.0930.0100.6830.5710.6960.056-0.0880.765-0.4270.0510.025-0.054-0.0520.0490.669-0.115-0.0380.2350.0000.0000.5370.796-0.3330.1890.416-0.4220.8410.2430.098-0.092-0.0940.8170.7640.841-0.057-0.093-0.104-0.3160.054-0.093-0.0930.097-0.093-0.093-0.0931.000
Grid Production PossiblePower StdDev [W]0.036-0.036-0.0360.0700.000-0.144-0.006-0.0460.7570.8000.6000.777-0.036-0.000-0.508-0.670-0.3190.454-0.102-0.2600.1750.6560.4220.637-0.0880.0110.7840.7810.7940.7800.7960.7810.439-0.036-0.0360.7470.7550.5770.7520.7530.7530.7970.8330.6870.3480.3180.3930.6860.6390.7950.7940.7940.0000.7680.8290.5401.0000.7930.8460.5850.9740.4470.5410.107-0.1330.1650.1570.2660.7150.7150.672-0.036-0.0360.2000.6210.5880.641-0.0730.0910.683-0.171-0.0020.0020.074-0.0100.0060.7140.297-0.0560.2370.0000.0000.6330.653-0.0440.4440.438-0.0560.7930.5140.039-0.034-0.0360.8020.8320.6900.310-0.036-0.047-0.279-0.072-0.036-0.0360.038-0.036-0.036-0.0361.000
Grid Production Power Avg. [W]0.106-0.106-0.1060.1330.000-0.217-0.046-0.1040.9430.9230.8850.732-0.106-0.029-0.453-0.495-0.3380.408-0.192-0.3290.1960.8190.4900.804-0.108-0.0450.9750.9660.9760.9690.9230.9650.605-0.106-0.1060.9160.9160.7350.9320.9330.9330.9830.9670.9190.1650.4040.5190.8700.7510.9900.9910.9900.0000.9460.9360.8410.7931.0000.9830.8940.7950.4110.4600.226-0.2340.1310.1270.2490.8970.8970.850-0.106-0.1060.0710.7640.6700.782-0.1740.1300.838-0.2800.0940.0200.174-0.0860.0960.8070.083-0.0450.2970.0000.0000.7420.871-0.1610.4510.505-0.2131.0000.5180.111-0.104-0.1070.9790.9660.9190.129-0.106-0.118-0.339-0.173-0.106-0.1060.111-0.106-0.106-0.1061.000
Grid Production Power Max. [W]0.101-0.101-0.1010.1290.577-0.221-0.052-0.0920.9310.9360.8390.799-0.101-0.038-0.419-0.510-0.2740.492-0.186-0.3210.1960.8140.4880.793-0.090-0.0380.9620.9570.9630.9550.9070.9540.607-0.101-0.1010.9100.9110.7270.9230.9240.9250.9700.9860.8730.2480.4000.5160.8560.7020.9780.9780.9780.2230.9360.9550.7870.8460.9831.0000.8320.8510.4270.5360.149-0.1550.1340.1340.2560.8840.8840.838-0.101-0.1010.0720.7660.6670.783-0.1540.1130.834-0.2920.0840.0200.155-0.0800.0890.7730.170-0.0450.3020.5770.5770.6960.867-0.1680.4530.518-0.1330.9830.5420.106-0.100-0.1020.9640.9850.8740.209-0.101-0.114-0.329-0.153-0.101-0.1010.106-0.101-0.101-0.1011.000
Grid Production Power Min. [W]0.115-0.115-0.1150.1080.057-0.202-0.047-0.1120.8480.7900.8820.523-0.115-0.027-0.409-0.345-0.4090.125-0.198-0.3180.1690.7240.4180.715-0.129-0.0360.8730.8570.8760.8670.8250.8620.540-0.115-0.1150.8100.8080.6470.8280.8280.8290.8800.8010.917-0.0600.3600.4560.7760.6950.8800.8820.8820.0240.8460.7950.9300.5850.8940.8321.0000.5700.1950.1950.327-0.3580.1100.1070.2100.7980.7970.757-0.115-0.1150.0370.6840.5940.701-0.1730.1390.770-0.3230.0770.0150.171-0.0690.0790.731-0.106-0.0310.2500.0570.0570.6760.795-0.2580.3140.400-0.4190.8940.3160.119-0.114-0.1150.8760.8020.915-0.086-0.115-0.124-0.322-0.173-0.115-0.1150.119-0.115-0.115-0.1151.000
Grid Production Power StdDev [W]0.045-0.045-0.0450.1240.000-0.148-0.011-0.0470.7430.7820.5920.757-0.045-0.003-0.527-0.691-0.3370.470-0.106-0.2590.1650.6590.4140.628-0.091-0.0470.7860.7830.7940.7820.7990.7820.445-0.045-0.0450.7480.7560.5770.7510.7520.7520.8000.8410.6860.3650.3180.3920.6810.6490.8030.8030.8030.0000.7510.8070.5270.9740.7950.8510.5701.0000.4530.5510.096-0.1220.1550.1480.2550.7100.7110.668-0.045-0.0450.1900.6170.5860.637-0.1530.1170.683-0.1530.0910.0180.154-0.0920.1040.6950.304-0.0420.2390.0000.0000.6400.653-0.0250.4440.440-0.0440.7950.5160.048-0.043-0.0450.8030.8390.6880.328-0.045-0.056-0.283-0.152-0.045-0.0450.048-0.045-0.045-0.0451.000
Grid Production ReactivePower Avg. [W]0.038-0.038-0.0380.1420.000-0.0910.044-0.0590.3410.3420.2680.297-0.0380.047-0.433-0.495-0.3410.494-0.060-0.1450.0420.3680.2550.333-0.1280.0110.4020.4150.3980.4200.4370.3910.178-0.038-0.0380.3900.3940.2890.3910.3890.3880.4180.4150.3680.1350.1430.1660.3820.4370.3970.3990.4000.0000.3430.3730.0950.4470.4110.4270.1950.4531.0000.6180.364-0.1930.0780.0390.1060.3740.3730.340-0.038-0.0380.1020.2150.2390.234-0.1590.1300.2130.3210.0300.0010.157-0.010-0.0150.4410.238-0.0200.0860.0000.0000.5490.2050.3570.9240.1760.3390.4110.8430.039-0.036-0.0380.4270.4150.3690.109-0.038-0.040-0.193-0.158-0.038-0.0380.039-0.038-0.038-0.0381.000
Grid Production ReactivePower Max. [W]0.041-0.041-0.0410.1020.000-0.120-0.024-0.0010.4170.4620.2770.517-0.041-0.023-0.200-0.3130.0140.661-0.077-0.1390.0850.3720.2630.382-0.0530.0040.4600.4830.4550.4710.4750.4610.326-0.041-0.0410.4710.4740.3600.4680.4670.4670.4580.5600.3370.4350.1780.2550.3760.1630.4640.4650.4630.0000.4250.5030.1620.5410.4600.5360.1950.5510.6181.000-0.2330.3540.0830.0910.1650.4290.4310.404-0.041-0.0410.0790.3740.3400.384-0.0740.0490.502-0.1770.002-0.0040.0760.007-0.0230.2720.428-0.0210.1560.0000.0000.2540.475-0.1400.5450.3850.4290.4600.6910.044-0.039-0.0410.4580.5590.3390.408-0.041-0.051-0.148-0.072-0.041-0.0410.044-0.041-0.041-0.0411.000
Grid Production ReactivePower Min. [W]0.041-0.041-0.0410.1070.000-0.0380.071-0.0910.1770.1070.271-0.090-0.0410.079-0.457-0.388-0.622-0.048-0.039-0.108-0.0110.2310.1230.159-0.1150.0060.2000.1770.2020.2020.2040.183-0.012-0.041-0.0410.1520.1550.1040.1640.1630.1620.2220.1040.342-0.2450.0570.0160.2510.5870.2060.2080.2110.0100.1700.1000.1970.1070.2260.1490.3270.0960.364-0.2331.000-0.8820.031-0.028-0.0040.1790.1730.154-0.041-0.0410.0410.0020.0490.022-0.1280.101-0.1350.5960.009-0.0100.1250.005-0.0200.463-0.190-0.015-0.0250.0000.0000.639-0.1140.5340.480-0.149-0.2930.2260.1550.040-0.041-0.0410.2280.1060.342-0.249-0.041-0.034-0.162-0.128-0.041-0.0410.040-0.041-0.041-0.0411.000
Grid Production ReactivePower StdDev [W]-0.0370.0370.037-0.1030.0000.048-0.0690.082-0.191-0.129-0.2760.0660.037-0.0770.5190.4520.6870.1350.0470.1270.020-0.237-0.113-0.1540.1090.002-0.213-0.183-0.216-0.210-0.217-0.1970.0370.0370.037-0.159-0.163-0.100-0.171-0.171-0.170-0.231-0.113-0.3360.191-0.045-0.003-0.255-0.666-0.215-0.217-0.2200.000-0.185-0.110-0.227-0.133-0.234-0.155-0.358-0.122-0.1930.354-0.8821.000-0.0410.020-0.002-0.178-0.172-0.1510.0370.037-0.055-0.008-0.063-0.0290.133-0.1090.138-0.612-0.035-0.011-0.1310.022-0.016-0.5160.0980.0140.0380.0000.000-0.6920.129-0.555-0.3270.1820.433-0.2340.012-0.0360.0360.036-0.234-0.115-0.3360.1930.0370.0320.1830.1320.0370.037-0.0360.0370.0370.0371.000
Grid Production VoltagePhase1 Avg. [V]0.098-0.099-0.098-0.0190.258-0.1090.021-0.0090.1400.1400.1250.110-0.0980.026-0.130-0.138-0.0950.019-0.115-0.142-0.0510.060-0.0050.0610.0250.0220.1230.1210.1290.1260.1510.1240.029-0.099-0.0980.1080.1110.0470.1120.1120.1110.1350.1340.1350.026-0.023-0.0070.0730.1130.1260.1240.1241.0000.1410.1430.1140.1650.1310.1340.1100.1550.0780.0830.031-0.0411.0000.9730.9670.0900.0910.078-0.098-0.098-0.0040.0640.0530.0680.020-0.0060.124-0.0360.0130.014-0.018-0.0100.0080.1240.040-0.011-0.0480.2580.2580.1160.106-0.0150.0790.081-0.0360.1310.0940.098-0.099-0.0980.1420.1340.1360.018-0.098-0.100-0.1490.020-0.098-0.0980.098-0.098-0.098-0.0981.000
Grid Production VoltagePhase2 Avg. [V]0.178-0.178-0.178-0.0280.258-0.157-0.007-0.0080.1360.1460.1130.132-0.178-0.007-0.086-0.097-0.0410.013-0.148-0.171-0.0940.037-0.0460.0390.0310.0200.1150.1140.1220.1180.1400.1190.027-0.178-0.1780.0950.0980.0240.0990.0990.0980.1290.1350.1210.036-0.061-0.0340.0490.0690.1220.1200.1201.0000.1390.1450.1200.1570.1270.1340.1070.1480.0390.091-0.0280.0200.9731.0000.9760.0730.0740.060-0.178-0.178-0.0400.0550.0320.0570.029-0.0170.148-0.1050.0040.012-0.027-0.000-0.0020.0890.039-0.008-0.0750.2580.2580.0660.132-0.0780.0380.097-0.0330.1270.0780.178-0.179-0.1780.1350.1350.1230.028-0.178-0.181-0.1690.029-0.178-0.1780.177-0.178-0.178-0.1781.000
Grid Production VoltagePhase3 Avg. [V]0.145-0.145-0.145-0.0150.258-0.126-0.000-0.0230.2530.2640.2170.231-0.1450.002-0.148-0.166-0.0840.073-0.121-0.157-0.0110.1540.0690.1680.0150.0160.2430.2420.2480.2450.2650.2440.124-0.145-0.1450.2260.2290.1490.2290.2290.2290.2520.2570.2370.0540.0430.0820.1770.1620.2450.2440.2431.0000.2560.2640.2150.2660.2490.2560.2100.2550.1060.165-0.004-0.0020.9670.9761.0000.2060.2070.191-0.145-0.1450.0240.1800.1520.1820.013-0.0030.264-0.1450.0070.012-0.011-0.0030.0030.1880.059-0.0150.0200.2580.2580.1610.245-0.1100.1090.161-0.0490.2490.1550.145-0.145-0.1450.2590.2570.2380.040-0.145-0.149-0.1580.013-0.145-0.1450.145-0.145-0.145-0.1451.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.1160.1170.1160.1340.5770.058-0.030-0.0710.8630.8450.8070.6760.116-0.013-0.348-0.392-0.2460.4060.051-0.0720.4790.8820.7430.972-0.083-0.0200.9340.9290.9230.9200.8610.9210.6990.1170.1160.9510.9470.9380.9630.9590.9600.8930.8770.8350.1020.6640.7580.9780.6530.8980.9000.9000.2240.8620.8570.7560.7150.8970.8840.7980.7100.3740.4290.179-0.1780.0900.0730.2061.0000.9960.9870.1160.1160.2750.8920.7960.897-0.1230.0950.791-0.3010.0530.0100.123-0.0430.0320.7090.078-0.0910.5740.5770.5770.6460.826-0.2130.4110.476-0.1740.8970.489-0.1100.1180.1150.8900.8780.8370.0680.1160.107-0.071-0.1220.1170.116-0.1090.1160.1170.1161.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.1150.1160.1160.1320.5770.057-0.031-0.0720.8640.8460.8070.6770.116-0.013-0.348-0.392-0.2450.4070.050-0.0720.4780.8810.7410.971-0.083-0.0260.9340.9300.9230.9210.8630.9210.7010.1160.1160.9520.9480.9400.9630.9600.9610.8940.8780.8360.1050.6630.7580.9750.6520.8990.9010.9000.2240.8630.8570.7560.7150.8970.8840.7970.7110.3730.4310.173-0.1720.0910.0740.2070.9961.0000.9880.1160.1160.2740.8930.7960.897-0.1260.0980.794-0.3040.0600.0130.127-0.0500.0420.7060.079-0.0890.5730.5770.5770.6450.828-0.2160.4090.478-0.1720.8980.490-0.1090.1170.1150.8910.8790.8380.0700.1160.106-0.072-0.1250.1160.116-0.1090.1160.1160.1161.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.1590.1590.1590.1300.5770.115-0.026-0.0630.8200.8020.7660.6420.159-0.007-0.313-0.356-0.2170.3890.100-0.0120.5230.8690.7690.982-0.082-0.0300.8980.8940.8850.8830.8210.8850.7060.1590.1590.9310.9270.9650.9390.9360.9370.8470.8330.7920.0940.6980.7850.9700.6100.8530.8550.8540.2240.8180.8130.7190.6720.8500.8380.7570.6680.3400.4040.154-0.1510.0780.0600.1910.9870.9881.0000.1590.1590.3040.8920.7950.893-0.1210.0950.759-0.3030.0570.0150.122-0.0480.0420.6640.070-0.0880.6160.5770.5770.6020.793-0.2220.3760.459-0.1640.8500.459-0.1520.1610.1580.8440.8330.7940.0600.1590.151-0.008-0.1200.1590.159-0.1520.1590.1590.1591.000
Grid ok hours [h]-1.0001.0001.000-0.0690.0080.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7350.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.032-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0080.008-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.000-0.0690.0080.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7350.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.032-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0080.008-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.5170.5170.5180.0250.5770.6110.0830.0570.0600.0580.0380.0200.5170.082-0.276-0.257-0.192-0.0530.5740.4690.5530.2050.5630.346-0.0690.0330.1380.1310.1260.1240.1840.1200.1840.5170.5180.2060.2080.3620.1930.1880.1890.0930.0830.1070.0650.5030.4830.2650.1190.0850.0890.0870.2240.0570.0640.0100.2000.0710.0720.0370.1900.1020.0790.041-0.055-0.004-0.0400.0240.2750.2740.3040.5170.5171.0000.4220.6180.428-0.0140.0450.123-0.020-0.056-0.0190.0130.055-0.0700.147-0.001-0.0650.5360.5770.5770.1220.0430.0000.097-0.0020.0080.0710.068-0.5150.5190.5180.1080.0830.1080.0640.5170.5180.456-0.0130.5170.517-0.5140.5170.5170.5171.000
HVTrafo Phase1 Temp. Avg. [°C]-0.2170.2180.2180.0960.5770.168-0.050-0.0480.7620.7600.7000.6480.218-0.036-0.182-0.235-0.0840.3650.1620.0350.5920.8420.7850.895-0.020-0.0150.8300.8280.8140.8080.7430.8210.6950.2180.2180.8890.8830.8690.8860.8840.8850.7690.7710.7120.0640.7400.8310.8690.4610.7830.7850.7840.2240.7640.7690.6830.6210.7640.7660.6840.6170.2150.3740.002-0.0080.0640.0550.1800.8920.8930.8920.2180.2180.4221.0000.9110.994-0.0580.0430.758-0.4270.0460.0150.059-0.0460.0450.5300.087-0.1110.6910.5770.5770.4370.796-0.3570.2440.442-0.1330.7650.369-0.2100.2200.2170.7670.7710.7140.0300.2180.2080.051-0.0580.2180.218-0.2090.2180.2180.2181.000
HVTrafo Phase2 Temp. Avg. [°C]-0.2660.2660.2660.1000.5770.236-0.014-0.0290.6510.6410.6010.5140.2660.000-0.313-0.334-0.2000.2630.2330.0670.5340.7190.7280.799-0.075-0.0090.7340.7320.7190.7150.6960.7210.5800.2660.2660.7790.7720.7770.7800.7780.7790.6840.6740.6460.0970.6690.7260.7700.4600.6870.6890.6880.2240.6510.6530.5710.5880.6700.6670.5940.5860.2390.3400.049-0.0630.0530.0320.1520.7960.7960.7950.2660.2660.6180.9111.0000.923-0.1030.0890.669-0.3250.0400.0140.103-0.0420.0480.5230.056-0.1060.6160.5770.5770.4480.661-0.2560.2620.351-0.1150.6710.336-0.2590.2680.2650.6860.6730.6470.0700.2660.2570.070-0.1020.2660.266-0.2580.2660.2660.2661.000
HVTrafo Phase3 Temp. Avg. [°C]-0.1920.1930.1930.1010.5770.132-0.052-0.0510.7770.7730.7150.6520.193-0.036-0.216-0.266-0.1140.3620.129-0.0070.5530.8480.7630.892-0.024-0.0150.8450.8440.8310.8230.7640.8370.6880.1930.1930.9000.8940.8620.8980.8970.8970.7860.7860.7300.0740.7080.8010.8720.4870.7980.8000.7990.2240.7790.7830.6960.6410.7820.7830.7010.6370.2340.3840.022-0.0290.0680.0570.1820.8970.8970.8930.1930.1930.4280.9940.9231.000-0.0640.0460.769-0.4160.0450.0150.065-0.0440.0430.5560.087-0.1090.6520.5770.5770.4660.801-0.3430.2630.444-0.1400.7830.382-0.1850.1950.1910.7840.7860.7320.0400.1930.1810.007-0.0640.1930.193-0.1840.1930.1930.1931.000
HourCounters Average AlarmActive Avg. [h]-0.0930.0930.093-0.5200.0000.058-0.026-0.0160.0650.0790.0430.1040.093-0.0550.2670.2500.269-0.0980.0550.0190.018-0.142-0.064-0.0970.7260.271-0.180-0.175-0.175-0.202-0.213-0.161-0.1920.0930.093-0.135-0.143-0.121-0.125-0.124-0.124-0.218-0.167-0.239-0.043-0.077-0.054-0.129-0.194-0.185-0.187-0.1860.0600.0720.0660.056-0.073-0.174-0.154-0.173-0.153-0.159-0.074-0.1280.1330.0200.0290.013-0.123-0.126-0.1210.0930.093-0.014-0.058-0.103-0.0641.000-0.807-0.101-0.136-0.511-0.112-0.9940.474-0.577-0.135-0.007-0.045-0.0640.0000.000-0.268-0.086-0.123-0.163-0.056-0.043-0.174-0.135-0.0920.0940.093-0.216-0.165-0.236-0.0390.0930.0900.0391.0000.0930.093-0.0920.0930.0930.0931.000
HourCounters Average AmbientOk Avg. [h]0.049-0.049-0.0490.2790.196-0.0140.0490.029-0.099-0.114-0.084-0.132-0.0490.079-0.216-0.199-0.2170.059-0.0140.0210.0090.1020.0600.077-0.688-0.0120.1420.1400.1380.1590.1700.1240.159-0.049-0.0490.0960.1030.0970.0850.0840.0840.1720.1220.1910.0110.0820.0510.1010.1440.1440.1460.1470.103-0.102-0.088-0.0880.0910.1300.1130.1390.1170.1300.0490.101-0.109-0.006-0.017-0.0030.0950.0980.095-0.049-0.0490.0450.0430.0890.046-0.8071.0000.0800.1100.5690.2190.817-0.5800.5100.1500.0140.0540.0790.1960.1960.2120.0650.0970.1350.0450.0310.1310.1110.048-0.050-0.0490.1740.1220.1920.004-0.049-0.0460.005-0.803-0.049-0.0490.048-0.049-0.049-0.0491.000
HourCounters Average Gen1 Avg. [h]0.069-0.068-0.0680.0760.000-0.161-0.074-0.0800.8120.8040.7550.645-0.068-0.061-0.268-0.276-0.1210.275-0.152-0.2680.2130.6560.4280.709-0.062-0.0280.8430.8440.8440.8420.8420.8410.583-0.068-0.0680.8230.8210.6670.8340.8330.8330.8380.8300.8060.0680.3810.5040.7120.4680.8370.8390.8390.0000.8140.8150.7650.6830.8380.8340.7700.6830.2130.502-0.1350.1380.1240.1480.2640.7910.7940.759-0.068-0.0680.1230.7580.6690.769-0.1010.0801.000-0.6830.0620.0230.102-0.0570.0680.5420.029-0.0530.3080.0000.0000.4480.965-0.6070.2290.562-0.1630.8390.4230.073-0.067-0.0690.8420.8300.8070.040-0.068-0.082-0.249-0.101-0.068-0.0680.073-0.068-0.068-0.0681.000
HourCounters Average Gen2 Avg. [h]-0.0260.0260.0260.0820.0150.0540.112-0.001-0.318-0.335-0.293-0.3160.0260.113-0.295-0.311-0.4100.0780.0660.074-0.138-0.161-0.126-0.277-0.102-0.036-0.293-0.304-0.297-0.288-0.285-0.303-0.3300.0260.026-0.309-0.302-0.278-0.313-0.313-0.314-0.275-0.297-0.2540.082-0.172-0.271-0.2060.223-0.282-0.281-0.2800.000-0.322-0.336-0.427-0.171-0.280-0.292-0.323-0.1530.321-0.1770.596-0.612-0.036-0.105-0.145-0.301-0.304-0.3030.0260.026-0.020-0.427-0.325-0.416-0.1360.110-0.6831.0000.0640.0130.136-0.0610.0740.0990.1290.040-0.1830.0150.0150.306-0.6590.9290.321-0.3640.115-0.2800.024-0.0280.0260.027-0.280-0.297-0.2550.0890.0260.0360.002-0.1350.0260.026-0.0270.0260.0260.0261.000
HourCounters Average GridOk Avg. [h]0.060-0.061-0.0600.1350.284-0.071-0.0170.0110.0480.0270.068-0.001-0.0600.029-0.137-0.111-0.1370.019-0.062-0.044-0.0560.090-0.0190.027-0.088-0.2020.1090.1080.1040.1130.1130.1050.108-0.061-0.0600.0950.1000.0670.0810.0830.0830.1260.1030.1270.0540.0210.0220.0580.1050.1170.1160.1180.1410.0390.0230.051-0.0020.0940.0840.0770.0910.0300.0020.009-0.0350.0130.0040.0070.0530.0600.057-0.060-0.060-0.0560.0460.0400.045-0.5110.5690.0620.0641.0000.3400.531-0.8930.7880.0520.0490.0630.0240.2840.2840.1190.0600.0510.0300.0450.0210.0960.0280.061-0.061-0.0610.1270.1030.1280.043-0.060-0.061-0.068-0.511-0.060-0.0600.060-0.060-0.060-0.0601.000
HourCounters Average GridOn Avg. [h]0.018-0.018-0.0170.2770.874-0.0160.0030.0040.0180.0130.031-0.004-0.0170.036-0.035-0.021-0.030-0.011-0.011-0.011-0.0190.023-0.0120.0020.0030.0010.0270.0250.0250.0310.0310.0260.027-0.018-0.0170.0240.0240.0180.0200.0210.0210.0360.0250.032-0.0010.002-0.0020.0100.0330.0330.0330.0330.2410.0150.0140.0250.0020.0200.0200.0150.0180.001-0.004-0.010-0.0110.0140.0120.0120.0100.0130.015-0.017-0.017-0.0190.0150.0140.015-0.1120.2190.0230.0130.3401.0000.180-0.1190.3040.0330.0090.024-0.0070.8740.8740.0210.0230.003-0.0030.0140.0030.0250.0010.018-0.017-0.0180.0350.0220.032-0.008-0.017-0.017-0.018-0.115-0.017-0.0170.017-0.017-0.018-0.0171.000
HourCounters Average Run Avg. [h]0.093-0.094-0.0930.5320.150-0.0580.0270.016-0.063-0.076-0.043-0.102-0.0930.058-0.266-0.250-0.2670.098-0.055-0.020-0.0180.1430.0630.097-0.721-0.2690.1800.1760.1750.2020.2140.1620.193-0.094-0.0930.1360.1440.1220.1250.1250.1240.2190.1680.2380.0440.0770.0540.1290.1950.1860.1880.1870.070-0.070-0.064-0.0540.0740.1740.1550.1710.1540.1570.0760.125-0.131-0.018-0.027-0.0110.1230.1270.122-0.093-0.0930.0130.0590.1030.065-0.9940.8170.1020.1360.5310.1801.000-0.4750.5940.1370.0090.0480.0640.1500.1500.2660.0870.1220.1610.0570.0430.1740.1340.093-0.094-0.0930.2170.1660.2350.039-0.093-0.091-0.040-0.994-0.093-0.0930.092-0.093-0.093-0.0931.000
HourCounters Average ServiceOn Avg. [h]-0.0470.0480.047-0.0620.0000.0640.016-0.017-0.054-0.031-0.069-0.0050.047-0.0290.1260.1070.128-0.0180.0530.0350.049-0.0840.022-0.0180.0040.007-0.103-0.103-0.099-0.105-0.104-0.099-0.1090.0480.047-0.090-0.093-0.060-0.073-0.075-0.075-0.115-0.100-0.119-0.062-0.023-0.023-0.048-0.092-0.110-0.109-0.1110.111-0.046-0.030-0.052-0.010-0.086-0.080-0.069-0.092-0.0100.0070.0050.022-0.010-0.000-0.003-0.043-0.050-0.0480.0470.0470.055-0.046-0.042-0.0440.474-0.580-0.057-0.061-0.893-0.119-0.4751.000-0.798-0.056-0.059-0.065-0.0290.0000.000-0.108-0.055-0.050-0.012-0.038-0.017-0.087-0.011-0.0480.0480.048-0.117-0.100-0.120-0.0510.0470.0490.0610.4760.0470.047-0.0480.0470.0470.0471.000
HourCounters Average TurbineOk Avg. [h]0.058-0.058-0.0580.1310.255-0.066-0.023-0.0030.0470.0300.0630.005-0.0580.028-0.155-0.130-0.1560.028-0.054-0.040-0.0660.084-0.0450.001-0.195-0.2680.1040.1000.0980.1170.1180.0960.110-0.058-0.0580.0880.0920.0580.0700.0730.0730.1390.1140.1440.0620.0100.0070.0380.1140.1300.1290.1310.1250.0390.0250.0490.0060.0960.0890.0790.104-0.015-0.023-0.020-0.0160.008-0.0020.0030.0320.0420.042-0.058-0.058-0.0700.0450.0480.043-0.5770.5100.0680.0740.7880.3040.594-0.7981.0000.0470.0630.0670.0120.2550.2550.1240.0640.061-0.0180.0380.0220.098-0.0120.058-0.058-0.0580.1340.1100.1390.051-0.058-0.058-0.069-0.582-0.058-0.0580.058-0.058-0.058-0.0581.000
HourCounters Average WindOk Avg. [h]0.049-0.049-0.0490.1080.026-0.1370.024-0.1040.7700.7320.7330.513-0.0490.044-0.697-0.713-0.6100.229-0.116-0.2720.1420.6790.4130.635-0.1140.0230.7910.7620.7950.7750.7590.7780.356-0.049-0.0490.7220.7280.5660.7390.7400.7400.7880.7430.7430.2280.3010.3490.7270.8820.8040.8040.8050.0100.7690.7370.6690.7140.8070.7730.7310.6950.4410.2720.463-0.5160.1240.0890.1880.7090.7060.664-0.049-0.0490.1470.5300.5230.556-0.1350.1500.5420.0990.0520.0330.137-0.0560.0471.0000.070-0.0310.1860.0260.0260.8500.5250.2160.4810.317-0.2750.8070.4160.052-0.047-0.0490.7840.7450.7440.201-0.049-0.056-0.316-0.134-0.049-0.0490.053-0.049-0.049-0.0491.000
HourCounters Average Yaw Avg. [h]-0.0050.0050.004-0.0070.000-0.085-0.0030.0610.0900.179-0.0510.3700.005-0.012-0.028-0.2110.0410.413-0.018-0.031-0.0030.1300.0740.0710.011-0.0150.0950.1060.0920.0960.0750.0990.0540.0050.0040.1150.1200.0640.1100.1110.1100.0980.191-0.0160.3140.0180.0450.0910.0660.1040.1020.1010.0000.0930.174-0.1150.2970.0830.170-0.1060.3040.2380.428-0.1900.0980.0400.0390.0590.0780.0790.0700.0050.005-0.0010.0870.0560.087-0.0070.0140.0290.1290.0490.0090.009-0.0590.0630.0701.000-0.0090.0420.0000.0000.0990.0380.1210.2100.0920.2280.0830.238-0.0020.0050.0040.0910.188-0.0120.2930.005-0.003-0.046-0.0070.0050.005-0.0020.0050.0050.0051.000
Hydraulic Oil Temp. Avg. [°C]0.046-0.046-0.0460.0090.577-0.030-0.010-0.005-0.053-0.056-0.044-0.053-0.046-0.0050.0050.024-0.010-0.034-0.030-0.000-0.087-0.083-0.096-0.102-0.017-0.017-0.052-0.052-0.049-0.047-0.052-0.052-0.061-0.046-0.046-0.065-0.063-0.092-0.073-0.071-0.072-0.044-0.048-0.0450.033-0.100-0.115-0.096-0.020-0.046-0.046-0.0460.467-0.055-0.059-0.038-0.056-0.045-0.045-0.031-0.042-0.020-0.021-0.0150.014-0.011-0.008-0.015-0.091-0.089-0.088-0.046-0.046-0.065-0.111-0.106-0.109-0.0450.054-0.0530.0400.0630.0240.048-0.0650.067-0.031-0.0091.000-0.0870.5770.577-0.021-0.0540.036-0.023-0.0220.002-0.045-0.0270.045-0.046-0.046-0.049-0.048-0.0470.036-0.046-0.047-0.008-0.045-0.046-0.0460.045-0.046-0.046-0.0461.000
Nacelle Temp. Avg. [°C]-0.6270.6270.6270.0520.5770.7200.0680.0220.2950.2990.2560.2840.6270.0800.008-0.0320.0450.2300.6760.6520.9410.5510.9170.680-0.0640.0040.3980.3900.3730.3820.3140.3760.5700.6270.6270.4930.4960.7090.4700.4630.4650.3180.3230.281-0.0000.9480.9430.5790.1510.3290.3320.3300.2240.2890.3000.2350.2370.2970.3020.2500.2390.0860.156-0.0250.038-0.048-0.0750.0200.5740.5730.6160.6270.6270.5360.6910.6160.652-0.0640.0790.308-0.1830.024-0.0070.064-0.0290.0120.1860.042-0.0871.0000.5770.5770.1410.342-0.1740.1000.196-0.0150.2970.169-0.6210.6270.6270.3120.3220.283-0.0150.6270.6280.666-0.0630.6270.627-0.6200.6270.6270.6271.000
Power factor set point0.0040.0070.0100.5340.9170.0170.0020.0390.0120.0300.4330.0000.0080.0780.0610.4330.4330.0000.5770.5770.5770.5770.5770.5770.0000.0000.5770.5770.5770.5770.5770.5770.5780.0150.0090.5770.5770.5800.5770.5770.5770.0350.0390.4330.0000.5770.5770.5770.0720.0000.0000.0000.2580.0000.0080.0000.0000.0000.5770.0570.0000.0000.0000.0000.0000.2580.2580.2580.5770.5770.5770.0080.0080.5770.5770.5770.5770.0000.1960.0000.0150.2840.8740.1500.0000.2550.0260.0000.5770.5771.0000.9170.0070.0000.0000.0000.0000.0000.0000.0000.0010.0150.0130.0340.0380.4330.0000.0080.2100.5770.0000.0090.0080.0000.0080.0060.0111.000
Power factor set point source0.0040.0070.0100.5340.9170.0170.0020.0390.0120.0300.4330.0000.0080.0780.0610.4330.4330.0000.5770.5770.5770.5770.5770.5770.0000.0000.5770.5770.5770.5770.5770.5770.5780.0150.0090.5770.5770.5800.5770.5770.5770.0350.0390.4330.0000.5770.5770.5770.0720.0000.0000.0000.2580.0000.0080.0000.0000.0000.5770.0570.0000.0000.0000.0000.0000.2580.2580.2580.5770.5770.5770.0080.0080.5770.5770.5770.5770.0000.1960.0000.0150.2840.8740.1500.0000.2550.0260.0000.5770.5770.9171.0000.0070.0000.0000.0000.0000.0000.0000.0000.0010.0150.0130.0340.0380.4330.0000.0080.2100.5770.0000.0090.0080.0000.0080.0060.0111.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.079-0.078-0.0780.1760.007-0.1610.039-0.1120.6620.6200.6470.405-0.0790.056-0.710-0.707-0.7030.276-0.140-0.2770.0840.6370.3730.569-0.197-0.0630.7230.7030.7210.7260.7260.7070.323-0.078-0.0780.6670.6730.5070.6800.6800.6790.7360.6670.7450.1010.2540.2910.6650.9300.7220.7260.7270.0000.6590.6200.5370.6330.7420.6960.6760.6400.5490.2540.639-0.6920.1160.0660.1610.6460.6450.602-0.079-0.0790.1220.4370.4480.466-0.2680.2120.4480.3060.1190.0210.266-0.1080.1240.8500.099-0.0210.1410.0070.0071.0000.4310.3230.6010.260-0.2600.7420.4670.082-0.077-0.0790.7350.6680.7450.080-0.079-0.085-0.334-0.268-0.078-0.0790.082-0.079-0.078-0.0791.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.089-0.089-0.0890.0740.000-0.185-0.090-0.0890.8460.8410.7890.701-0.089-0.077-0.126-0.166-0.0090.378-0.173-0.2700.2320.7130.4510.749-0.045-0.0250.8700.8720.8680.8660.8180.8670.638-0.089-0.0890.8470.8410.6990.8620.8620.8620.8620.8620.8100.0120.4150.5470.7660.4540.8710.8720.8720.0000.8490.8510.7960.6530.8710.8670.7950.6530.2050.475-0.1140.1290.1060.1320.2450.8260.8280.793-0.089-0.0890.0430.7960.6610.801-0.0860.0650.965-0.6590.0600.0230.087-0.0550.0640.5250.038-0.0540.3420.0000.0000.4311.000-0.5850.2190.576-0.1570.8710.4260.094-0.088-0.0900.8600.8610.811-0.019-0.089-0.102-0.244-0.085-0.089-0.0890.094-0.089-0.089-0.0891.000
Production LatestAverage Active Power Gen 2 Avg. [W]-0.0220.0220.0220.0730.0000.0310.1050.008-0.200-0.211-0.205-0.2000.0220.106-0.380-0.419-0.4140.0630.0510.035-0.128-0.094-0.094-0.202-0.095-0.032-0.187-0.201-0.186-0.187-0.187-0.196-0.2920.0220.022-0.223-0.213-0.209-0.226-0.224-0.224-0.164-0.175-0.1990.227-0.153-0.237-0.1260.280-0.164-0.165-0.1640.000-0.202-0.209-0.333-0.044-0.161-0.168-0.258-0.0250.357-0.1400.534-0.555-0.015-0.078-0.110-0.213-0.216-0.2220.0220.0220.000-0.357-0.256-0.343-0.1230.097-0.6070.9290.0510.0030.122-0.0500.0610.2160.1210.036-0.1740.0000.0000.323-0.5851.0000.323-0.2890.111-0.1610.074-0.0230.0220.022-0.170-0.176-0.2000.2300.0220.029-0.036-0.1220.0220.022-0.0230.0220.0220.0221.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.047-0.047-0.0470.1470.000-0.1000.049-0.0740.3790.3700.3330.295-0.0470.053-0.476-0.503-0.4430.424-0.069-0.1610.0510.4120.2790.369-0.1310.0140.4440.4560.4400.4620.4780.4320.198-0.047-0.0470.4290.4320.3170.4300.4290.4280.4580.4310.4490.0550.1660.1910.4250.4890.4350.4380.4380.0000.3800.3970.1890.4440.4510.4530.3140.4440.9240.5450.480-0.3270.0790.0380.1090.4110.4090.376-0.047-0.0470.0970.2440.2620.263-0.1630.1350.2290.3210.030-0.0030.161-0.012-0.0180.4810.210-0.0230.1000.0000.0000.6010.2190.3231.0000.1360.1890.4510.7950.048-0.045-0.0470.4680.4310.4510.026-0.047-0.049-0.210-0.162-0.047-0.0470.049-0.047-0.047-0.0471.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.046-0.046-0.0460.0440.000-0.118-0.025-0.0310.4890.4980.4260.458-0.046-0.019-0.042-0.1120.0550.295-0.105-0.1450.1270.4090.2610.431-0.032-0.0340.4980.5000.4960.4950.4500.4960.364-0.046-0.0460.4870.4850.4130.4950.4950.4950.4900.5180.4250.1350.2240.3120.4270.2760.5050.5050.5050.0000.4920.5090.4160.4380.5050.5180.4000.4400.1760.385-0.1490.1820.0810.0970.1610.4760.4780.459-0.046-0.046-0.0020.4420.3510.444-0.0560.0450.562-0.3640.0450.0140.057-0.0380.0380.3170.092-0.0220.1960.0000.0000.2600.576-0.2890.1361.000-0.0600.5050.6070.051-0.046-0.0470.4810.5180.4250.119-0.046-0.054-0.132-0.056-0.046-0.0460.051-0.046-0.046-0.0461.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0390.0400.0390.0260.0000.0490.0150.041-0.226-0.181-0.303-0.0270.0390.0080.1470.0570.2650.3880.0610.097-0.022-0.159-0.059-0.150-0.038-0.022-0.201-0.176-0.206-0.188-0.174-0.197-0.0490.0400.039-0.159-0.159-0.125-0.175-0.175-0.175-0.194-0.100-0.2810.210-0.057-0.073-0.177-0.350-0.202-0.203-0.2040.000-0.222-0.138-0.422-0.056-0.213-0.133-0.419-0.0440.3390.429-0.2930.433-0.036-0.033-0.049-0.174-0.172-0.1640.0390.0390.008-0.133-0.115-0.140-0.0430.031-0.1630.1150.0210.0030.043-0.0170.022-0.2750.2280.002-0.0150.0000.000-0.260-0.1570.1110.189-0.0601.000-0.2130.307-0.0400.0390.040-0.188-0.102-0.2820.2010.0390.0400.094-0.0430.0390.039-0.0400.0390.0390.0391.000
Production LatestAverage Total Active Power Avg. [W]0.106-0.106-0.1060.1350.000-0.217-0.045-0.1040.9440.9240.8850.732-0.106-0.028-0.454-0.495-0.3380.408-0.191-0.3290.1960.8200.4900.804-0.108-0.0450.9760.9670.9770.9700.9230.9650.605-0.106-0.1060.9170.9170.7350.9330.9330.9340.9830.9660.9190.1650.4050.5190.8700.7510.9900.9910.9910.0000.9460.9360.8410.7931.0000.9830.8940.7950.4110.4600.226-0.2340.1310.1270.2490.8970.8980.850-0.106-0.1060.0710.7650.6710.783-0.1740.1310.839-0.2800.0960.0250.174-0.0870.0980.8070.083-0.0450.2970.0000.0000.7420.871-0.1610.4510.505-0.2131.0000.5180.111-0.104-0.1060.9790.9660.9190.129-0.106-0.118-0.339-0.173-0.106-0.1060.110-0.106-0.106-0.1061.000
Production LatestAverage Total Reactive Power Avg. [var]0.049-0.048-0.0490.1210.000-0.1190.017-0.0540.4590.4690.3700.439-0.0490.021-0.288-0.367-0.1760.530-0.090-0.1610.0980.4510.3140.444-0.1080.0080.5140.5300.5080.5280.5160.5060.315-0.048-0.0490.5080.5100.4060.5110.5090.5080.5180.5340.4490.1530.2160.2790.4700.3780.5060.5080.5080.0000.4620.5020.2430.5140.5180.5420.3160.5160.8430.6910.1550.0120.0940.0780.1550.4890.4900.459-0.049-0.0490.0680.3690.3360.382-0.1350.1110.4230.0240.0280.0010.134-0.011-0.0120.4160.238-0.0270.1690.0000.0000.4670.4260.0740.7950.6070.3070.5181.0000.052-0.047-0.0490.5200.5340.4510.124-0.049-0.054-0.185-0.134-0.049-0.0490.052-0.049-0.049-0.0491.000
Reactive power generator 0,Total accumulated [var]0.998-0.998-0.9980.0690.001-0.779-0.167-0.0720.0710.0730.0770.053-0.998-0.173-0.008-0.015-0.0200.043-0.751-0.732-0.707-0.079-0.543-0.219-0.041-0.0390.0420.0490.0590.0530.0540.060-0.156-0.998-0.998-0.021-0.028-0.262-0.008-0.002-0.0040.0910.0860.091-0.017-0.578-0.528-0.1220.0670.0880.0850.0860.0390.0780.0730.0980.0390.1110.1060.1190.0480.0390.0440.040-0.0360.0980.1780.145-0.110-0.109-0.152-0.998-0.998-0.515-0.210-0.259-0.185-0.0920.0480.073-0.0280.0610.0180.093-0.0480.0580.052-0.0020.045-0.6210.0010.0010.0820.094-0.0230.0480.051-0.0400.1110.0521.000-0.998-0.9980.0890.0850.091-0.023-0.998-0.990-0.717-0.092-0.998-0.9981.000-0.998-0.998-0.9981.000
Reactive power generator 1, Total accumulated [var]-1.0001.0001.000-0.0700.0150.7790.1710.071-0.063-0.066-0.071-0.0471.0000.1790.0070.0130.019-0.0390.7520.7330.7100.0880.5500.2270.0420.039-0.035-0.041-0.052-0.045-0.047-0.0530.1631.0001.0000.0300.0370.2710.0160.0110.013-0.085-0.079-0.0850.0190.5820.5350.130-0.061-0.082-0.078-0.0790.031-0.071-0.067-0.092-0.034-0.104-0.100-0.114-0.043-0.036-0.039-0.0410.036-0.099-0.179-0.1450.1180.1170.1611.0001.0000.5190.2200.2680.1950.094-0.050-0.0670.026-0.061-0.017-0.0940.048-0.058-0.0470.005-0.0460.6270.0150.015-0.077-0.0880.022-0.045-0.0460.039-0.104-0.047-0.9981.0001.000-0.083-0.078-0.0850.0241.0000.9910.7170.0941.0001.000-0.9971.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.000-0.0690.0130.7810.1710.072-0.066-0.069-0.073-0.0491.0000.1790.0090.0150.020-0.0390.7540.7350.7110.0850.5490.2250.0420.039-0.037-0.044-0.054-0.048-0.050-0.0550.1621.0001.0000.0270.0340.2690.0130.0080.010-0.087-0.081-0.0870.0180.5820.5340.127-0.063-0.084-0.081-0.0810.031-0.074-0.069-0.094-0.036-0.107-0.102-0.115-0.045-0.038-0.041-0.0410.036-0.098-0.178-0.1450.1150.1150.1581.0001.0000.5180.2170.2650.1910.093-0.049-0.0690.027-0.061-0.018-0.0930.048-0.058-0.0490.004-0.0460.6270.0130.013-0.079-0.0900.022-0.047-0.0470.040-0.106-0.049-0.9981.0001.000-0.085-0.081-0.0870.0241.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.085-0.085-0.0850.1430.034-0.191-0.037-0.1060.9300.9070.8750.707-0.085-0.018-0.493-0.526-0.3660.392-0.169-0.3150.2120.8080.5010.798-0.147-0.0620.9710.9660.9740.9720.9480.9610.619-0.085-0.0850.9160.9180.7320.9270.9270.9280.9930.9600.9430.1520.4180.5270.8560.7310.9780.9790.9790.0290.9260.9200.8170.8020.9790.9640.8760.8030.4270.4580.228-0.2340.1420.1350.2590.8900.8910.844-0.085-0.0850.1080.7670.6860.784-0.2160.1740.842-0.2800.1270.0350.217-0.1170.1340.7840.091-0.0490.3120.0340.0340.7350.860-0.1700.4680.481-0.1880.9790.5200.089-0.083-0.0851.0000.9610.9440.111-0.085-0.096-0.330-0.216-0.085-0.0850.089-0.085-0.085-0.0851.000
Rotor RPM Max. [RPM]0.080-0.080-0.0800.1350.038-0.196-0.051-0.0890.9230.9290.8270.799-0.080-0.037-0.412-0.505-0.2450.513-0.161-0.2950.2140.8010.4980.790-0.093-0.0490.9530.9500.9540.9480.9030.9460.621-0.080-0.0800.9050.9060.7280.9160.9170.9170.9650.9990.8590.3050.4130.5320.8440.6700.9700.9700.9690.0310.9240.9450.7640.8320.9660.9850.8020.8390.4150.5590.106-0.1150.1340.1350.2570.8780.8790.833-0.080-0.0800.0830.7710.6730.786-0.1650.1220.830-0.2970.1030.0220.166-0.1000.1100.7450.188-0.0480.3220.0380.0380.6680.861-0.1760.4310.518-0.1020.9660.5340.085-0.078-0.0810.9611.0000.8610.263-0.080-0.093-0.304-0.164-0.080-0.0800.085-0.080-0.080-0.0801.000
Rotor RPM Min. [RPM]0.087-0.086-0.0860.1420.433-0.175-0.020-0.1180.8720.8150.8900.539-0.0860.003-0.501-0.462-0.4560.263-0.169-0.3120.1970.7570.4680.747-0.169-0.0670.9130.9050.9160.9170.9100.9010.587-0.086-0.0860.8610.8610.6830.8710.8700.8700.9360.8590.997-0.0380.3990.4900.8000.7220.9140.9170.9180.4470.8630.8280.8410.6900.9190.8740.9150.6880.3690.3390.342-0.3360.1360.1230.2380.8370.8380.794-0.086-0.0860.1080.7140.6470.732-0.2360.1920.807-0.2550.1280.0320.235-0.1200.1390.744-0.012-0.0470.2830.4330.4330.7450.811-0.2000.4510.425-0.2820.9190.4510.091-0.085-0.0870.9440.8611.000-0.074-0.086-0.095-0.331-0.236-0.086-0.0860.090-0.086-0.086-0.0861.000
Rotor RPM StdDev [RPM]-0.0240.0230.0230.0530.000-0.032-0.0040.0620.1280.190-0.0200.3280.023-0.007-0.315-0.404-0.0680.2120.015-0.018-0.0230.0630.0380.0480.016-0.0240.1230.1230.1230.1120.1100.1300.0190.0230.0230.1040.1170.0600.0950.0980.0990.1270.263-0.0740.985-0.029-0.0080.0460.0800.1480.1450.1430.0000.1340.198-0.0570.3100.1290.209-0.0860.3280.1090.408-0.2490.1930.0180.0280.0400.0680.0700.0600.0230.0230.0640.0300.0700.040-0.0390.0040.0400.0890.043-0.0080.039-0.0510.0510.2010.2930.036-0.0150.0000.0000.080-0.0190.2300.0260.1190.2010.1290.124-0.0230.0240.0240.1110.263-0.0741.0000.0230.014-0.041-0.0380.0230.023-0.0220.0230.0230.0231.000
Run hours [h]-1.0001.0001.000-0.0690.0080.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7350.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.031-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0080.008-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Service hours [h]-0.9920.9920.992-0.0680.2100.7910.1930.072-0.078-0.082-0.083-0.0630.9920.2010.0140.0220.022-0.0440.7650.7460.7120.0780.5460.2190.0370.038-0.048-0.055-0.065-0.058-0.061-0.0660.1590.9920.9920.0160.0230.2640.002-0.003-0.001-0.098-0.094-0.0960.0080.5790.5330.120-0.069-0.094-0.091-0.0920.051-0.086-0.082-0.104-0.047-0.118-0.114-0.124-0.056-0.040-0.051-0.0340.032-0.100-0.181-0.1490.1070.1060.1510.9920.9920.5180.2080.2570.1810.090-0.046-0.0820.036-0.061-0.017-0.0910.049-0.058-0.056-0.003-0.0470.6280.2100.210-0.085-0.1020.029-0.049-0.0540.040-0.118-0.054-0.9900.9910.992-0.096-0.093-0.0950.0140.9921.0000.7300.0900.9920.992-0.9900.9920.9920.9921.000
Spinner Temp. Avg. [°C]-0.7190.7180.719-0.0210.5770.8950.1250.106-0.329-0.314-0.327-0.2170.7190.1200.2640.2630.244-0.0910.8900.9860.724-0.1100.4740.072-0.0300.032-0.274-0.283-0.295-0.281-0.307-0.2940.0970.7180.719-0.200-0.1920.144-0.220-0.228-0.226-0.326-0.304-0.332-0.0580.5540.497-0.054-0.323-0.317-0.316-0.3180.224-0.336-0.321-0.316-0.279-0.339-0.329-0.322-0.283-0.193-0.148-0.1620.183-0.149-0.169-0.158-0.071-0.072-0.0080.7190.7190.4560.0510.0700.0070.0390.005-0.2490.002-0.068-0.018-0.0400.061-0.069-0.316-0.046-0.0080.6660.5770.577-0.334-0.244-0.036-0.210-0.1320.094-0.339-0.185-0.7170.7170.719-0.330-0.304-0.331-0.0410.7190.7301.0000.0400.7190.719-0.7160.7190.7190.7191.000
System Logs First Active Alarm No-0.0930.0930.093-0.5200.0000.058-0.025-0.0150.0630.0770.0410.1030.093-0.0550.2670.2490.269-0.0960.0560.0200.019-0.142-0.063-0.0950.7210.272-0.179-0.175-0.174-0.201-0.213-0.160-0.1920.0930.093-0.135-0.143-0.121-0.124-0.124-0.123-0.218-0.166-0.239-0.043-0.076-0.054-0.128-0.194-0.184-0.186-0.1850.0750.0700.0650.054-0.072-0.173-0.153-0.173-0.152-0.158-0.072-0.1280.1320.0200.0290.013-0.122-0.125-0.1200.0930.093-0.013-0.058-0.102-0.0641.000-0.803-0.101-0.135-0.511-0.115-0.9940.476-0.582-0.134-0.007-0.045-0.0630.0000.000-0.268-0.085-0.122-0.162-0.056-0.043-0.173-0.134-0.0920.0940.093-0.216-0.164-0.236-0.0380.0930.0900.0401.0000.0930.093-0.0920.0930.0930.0931.000
Total Active power [W]-1.0001.0001.000-0.0690.0090.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7340.7110.0870.5500.2260.0420.039-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0290.0360.2700.0150.0090.011-0.086-0.080-0.0860.0180.5820.5350.129-0.063-0.083-0.080-0.0810.029-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1170.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0090.009-0.078-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.000-0.0690.0080.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7350.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.033-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0080.008-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Total reactive power [var]0.998-0.998-0.9980.0690.000-0.778-0.168-0.0720.0700.0730.0770.053-0.998-0.173-0.009-0.015-0.0210.043-0.750-0.731-0.706-0.078-0.542-0.218-0.041-0.0390.0420.0490.0590.0530.0540.060-0.156-0.998-0.998-0.021-0.028-0.261-0.007-0.002-0.0030.0910.0850.091-0.016-0.577-0.527-0.1210.0670.0880.0850.0850.0390.0780.0730.0970.0380.1110.1060.1190.0480.0390.0440.040-0.0360.0980.1770.145-0.109-0.109-0.152-0.998-0.998-0.514-0.209-0.258-0.184-0.0920.0480.073-0.0270.0600.0170.092-0.0480.0580.053-0.0020.045-0.6200.0000.0000.0820.094-0.0230.0490.051-0.0400.1100.0521.000-0.997-0.9980.0890.0850.090-0.022-0.998-0.990-0.716-0.092-0.998-0.9981.000-0.998-0.998-0.9981.000
Turbine ok hours [h]-1.0001.0001.000-0.0690.0080.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7350.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.032-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0080.008-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.000-0.0690.0060.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7340.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0360.2700.0140.0090.011-0.086-0.080-0.0860.0180.5820.5350.128-0.063-0.083-0.080-0.0810.030-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1170.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.018-0.0930.047-0.058-0.0490.005-0.0460.6270.0060.006-0.078-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.000-0.0690.0110.7800.1720.071-0.065-0.068-0.073-0.0481.0000.1790.0090.0160.021-0.0390.7530.7340.7110.0870.5500.2260.0420.038-0.036-0.043-0.053-0.047-0.049-0.0540.1641.0001.0000.0280.0350.2700.0140.0090.011-0.086-0.080-0.0870.0180.5820.5350.128-0.063-0.083-0.080-0.0810.035-0.073-0.068-0.093-0.036-0.106-0.101-0.115-0.045-0.038-0.041-0.0410.037-0.098-0.178-0.1450.1160.1160.1591.0001.0000.5170.2180.2660.1930.093-0.049-0.0680.026-0.060-0.017-0.0930.047-0.058-0.0490.005-0.0460.6270.0110.011-0.079-0.0890.022-0.047-0.0460.039-0.106-0.049-0.9981.0001.000-0.085-0.080-0.0860.0231.0000.9920.7190.0931.0001.000-0.9981.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-15T14:19:33.717130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-15T14:19:34.466512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-15T14:19:37.793678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001061.01038.01049.03.051.037.039.038.025.058.027.054.0999.0999.055.048.00.054.055.055.068.065.027.0339.910.19.910.00.06.22.64.40.4-6.6333.35.00.032.032.031.031.0107.41.050.0567.6565.9563.458.061.869.4174.644.427.028.90.00.3-0.30.0107.0177.044.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.026.019.038.072.029.013.0999.0-0.3-2.3-1.10.348.054.048.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.014698800.014619305.014533244.014389093.014247208.05169155.05768455.0586684.083202.014420242.09899645.00.00.017850.017850.00.00.00.00.0-13749.02518574.0363076.02867901.0-10132.045.0534.0-9552.00.00.00.0False
12020-01-01 00:10:001055.01041.01049.02.051.037.038.037.025.058.029.054.0999.0999.055.049.00.054.055.055.068.065.027.0339.910.19.910.00.05.92.44.00.3-3.6336.35.00.032.033.032.032.070.61.050.0567.8566.1563.536.340.347.9136.214.226.019.60.00.3-0.30.070.0136.014.019.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.026.018.038.071.031.013.0999.0-0.1-1.7-0.70.248.054.048.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0593.00.014698800.014619905.014533844.014389693.014247808.05169155.05769055.0586684.083202.014420842.09900238.00.00.012093.012093.00.00.00.00.0-13749.02518574.0363088.02867913.0-10132.045.0534.0-9552.00.00.00.0False
22020-01-01 00:20:001057.01041.01049.02.051.037.038.037.025.058.028.054.0999.0999.055.048.00.054.055.055.068.065.027.0339.910.19.910.00.05.63.14.20.4-5.1334.85.00.031.032.030.031.088.61.050.0568.5567.2564.746.851.258.1138.015.327.030.90.00.3-0.40.088.0138.015.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.026.019.038.071.029.013.0999.0-0.1-1.7-0.90.348.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0377.00.014698800.014620506.014534445.014390294.014248409.05169155.05769656.0586684.083202.014421443.09900616.00.00.014621.014621.00.00.00.00.0-13749.02518574.0363102.02867928.0-10132.045.0534.0-9552.00.00.00.0False
32020-01-01 00:30:001059.01035.01049.03.051.037.038.037.025.058.029.053.0999.0999.055.049.00.054.054.055.068.065.027.0339.910.19.910.00.05.42.54.00.3-6.1333.85.00.033.033.032.032.064.51.050.0568.5566.9564.533.137.943.9115.0-2.727.029.50.00.3-0.30.064.0114.0-3.029.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.026.019.038.071.031.013.0999.00.3-1.3-0.60.348.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0363.00.014702400.014621105.014535044.014390893.014249008.05169155.05770255.0586684.083202.014422042.09900978.00.00.010746.010746.00.00.00.00.0-13749.02518574.0363113.02867938.0-10132.045.0534.0-9552.00.00.00.0False
42020-01-01 00:40:001059.01041.01049.02.051.037.038.037.025.058.029.045.0999.0999.055.049.00.054.055.055.068.065.027.0339.910.19.910.00.06.13.24.30.3-0.7339.25.00.033.033.032.032.0101.91.050.0569.7568.0565.754.258.865.9139.160.127.018.40.00.3-0.60.0101.0140.059.018.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.025.019.037.071.031.013.0999.0-0.5-1.8-1.00.248.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.014702400.014621705.014535644.014391493.014249608.05169155.05770855.0586684.083202.014422642.09901578.00.00.016916.016916.00.00.00.00.0-13749.02518574.0363130.02867955.0-10132.045.0534.0-9552.00.00.00.0False
52020-01-01 00:50:001058.01039.01049.02.051.037.039.038.025.058.028.045.0999.0999.055.048.00.054.054.055.068.065.027.0339.910.19.910.00.05.42.93.90.3-6.4333.54.00.031.032.031.031.056.11.050.0570.4568.9566.628.432.339.0142.61.227.029.40.00.3-0.30.055.0142.02.029.00.00.00.00.00.00.00.00.03000.011.00.01.011.014.025.019.037.071.029.013.0999.00.1-1.9-0.60.348.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0389.00.014702400.014622305.014536244.014392093.014250208.05169155.05771455.0586684.083202.014423242.09901967.00.00.09781.09781.00.00.00.00.0-13749.02518574.0363140.02867965.0-10132.045.0534.0-9552.00.00.00.0False
62020-01-01 01:00:001067.01029.01049.03.051.037.038.038.025.058.029.046.0999.0999.055.048.00.054.054.055.068.065.027.0339.910.29.810.00.05.72.24.10.5-4.6335.34.00.033.033.032.032.090.31.050.0570.8569.3566.949.453.259.6159.4-55.327.047.50.00.3-0.30.090.0159.0-55.047.00.00.00.00.00.00.00.00.03000.011.00.01.011.014.025.019.037.070.030.013.0999.04.5-1.8-0.70.748.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0317.00.014702400.014622905.014536844.014392693.014250808.05169155.05772055.0586684.083202.014423842.09902284.00.00.014289.014289.00.00.00.00.0-13749.02518574.0363154.02867979.0-10132.045.0534.0-9552.00.00.00.0False
72020-01-01 01:10:001061.01039.01049.03.051.037.038.038.025.058.028.047.0999.0999.055.049.00.054.055.055.068.065.027.0335.810.19.910.00.06.32.94.40.4-6.4329.55.00.032.032.031.031.0119.21.050.0570.2568.4566.264.469.175.5196.777.126.025.90.00.6-0.60.0118.0198.075.026.00.00.00.00.00.00.00.00.03000.011.00.01.011.014.025.019.037.070.029.013.0999.0-0.5-2.4-1.20.348.054.048.043.0600.0600.0600.0600.0600.00.0600.021.00.0600.0600.00.014702400.014623505.014537444.014393293.014251408.05169155.05772655.0586705.083202.014424442.09902884.00.00.019712.019712.00.00.00.00.0-13749.02518574.0363174.02867999.0-10132.045.0534.0-9552.00.00.00.0False
82020-01-01 01:20:001081.01013.01050.05.050.037.039.038.025.058.029.048.0999.0999.055.048.00.054.055.055.067.065.027.0330.810.39.710.00.06.33.64.80.4-3.5327.35.00.034.033.032.032.0169.01.050.0571.2569.5567.493.098.7104.3233.562.626.032.50.00.3-0.30.0168.0235.060.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.014.025.019.037.071.030.013.0999.02.5-2.6-1.70.548.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.014702400.014624106.014538045.014393894.014252009.05169155.05773256.0586705.083202.014425043.09903485.00.00.027650.027650.00.00.00.00.0-13749.02518574.0363201.02868027.0-10132.045.0534.0-9552.00.00.00.0False
92020-01-01 01:30:001079.01039.01050.05.050.037.039.038.025.058.028.049.0999.0999.056.049.00.055.056.055.067.065.027.0330.810.39.910.00.06.73.34.70.5-7.4323.45.00.033.032.031.031.0150.11.050.0572.5570.7568.682.186.993.3232.781.226.038.20.00.3-0.40.0149.0235.079.038.00.00.00.00.00.00.00.00.03000.011.00.01.011.014.025.019.037.071.030.013.0999.0-0.4-2.7-1.50.548.054.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.014706000.014624706.014538645.014394494.014252609.05169155.05773856.0586705.083202.014425643.09904085.00.00.025305.025305.00.00.00.00.0-13749.02518574.0363227.02868052.0-10132.045.0534.0-9552.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001370.01284.01324.018.060.047.048.048.040.068.037.052.0999.0999.060.049.00.062.062.059.070.068.040.0334.313.112.312.60.18.25.36.90.3-0.1334.225.00.040.041.040.039.0426.41.050.0571.3569.1567.4242.5249.2255.1520.7337.342.030.00.00.3-0.30.0425.0522.0336.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.042.037.051.086.039.031.0999.0-2.3-2.7-2.50.061.066.060.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030416400.030252676.030076700.029906968.029534700.011071358.012420384.01254493.0160968.029834306.021336236.00.00.070970.070970.00.00.00.00.0-25313.05363432.0817054.06155173.0-18158.096.01046.0-17016.00.00.00.0False
261992020-06-30 22:30:001347.01216.01281.026.061.048.049.048.040.069.037.053.0999.0999.060.049.00.062.063.060.069.068.040.0334.312.911.612.20.27.95.66.70.30.6334.925.00.041.041.040.040.0398.21.050.0573.2571.0569.1225.2232.1238.1503.4306.842.031.90.00.2-0.30.0397.0507.0302.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.042.037.051.086.040.031.0999.0-2.3-2.7-2.50.061.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030420000.030253276.030077300.029907568.029535300.011071358.012420984.01254493.0160968.029834906.021336836.00.00.066475.066475.00.00.00.00.0-25313.05363432.0817120.06155239.0-18158.096.01046.0-17016.00.00.00.0False
262002020-06-30 22:40:001283.01175.01229.025.061.048.049.048.040.069.039.047.0999.0999.060.049.00.062.062.059.069.068.040.0334.312.311.211.70.27.85.26.40.41.7336.025.00.043.043.041.041.0393.01.050.0574.3572.0570.2221.9228.9234.7479.3298.342.030.70.00.3-0.30.0392.0489.0296.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.042.037.051.086.041.031.0999.0-2.3-2.8-2.50.061.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030420000.030253876.030077900.029908168.029535900.011071358.012421584.01254493.0160968.029835506.021337436.00.00.065410.065410.00.00.00.00.0-25313.05363432.0817186.06155305.0-18158.096.01046.0-17016.00.00.00.0False
262012020-06-30 22:50:001283.01110.01206.034.061.048.050.049.040.069.038.045.0999.0999.060.049.00.061.062.059.069.068.039.0334.512.310.611.50.37.55.36.30.31.5336.025.00.042.042.041.040.0371.51.050.0574.7572.2569.9208.7215.8222.8483.6265.142.031.80.00.4-0.80.0370.0489.0261.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.041.036.051.086.041.031.0999.0-2.3-2.8-2.50.061.066.060.053.0600.0600.0600.0600.0600.00.0600.018.00.0600.0600.00.030420000.030254476.030078502.029908768.029536500.011071358.012422185.01254511.0160968.029836108.021338036.00.00.062409.062409.00.00.00.00.0-25313.05363432.0817248.06155367.0-18158.096.01046.0-17016.00.00.00.0False
262022020-06-30 23:00:001337.01106.01229.053.061.048.050.049.040.069.038.047.0999.0999.060.049.00.061.062.059.069.067.039.0343.012.810.611.70.57.85.16.40.4-0.9342.125.00.041.041.040.040.0371.91.050.0575.5572.6570.3208.5215.9223.1483.5257.842.038.40.00.3-0.40.0371.0490.0257.039.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.041.036.051.087.040.030.0999.0-2.3-2.8-2.50.061.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030420000.030255076.030079100.029909368.029537100.011071358.012422784.01254511.0160968.029836706.021338636.00.00.061690.061690.00.00.00.00.0-25313.05363432.0817310.06155429.0-18158.096.01046.0-17016.00.00.00.0False
262032020-06-30 23:10:001298.01153.01218.031.062.048.050.049.040.069.037.050.0999.0999.059.049.00.061.062.059.069.067.039.0348.412.411.011.60.37.75.16.40.4-1.5346.824.00.041.041.039.039.0341.91.050.0575.9573.2570.8190.7198.3205.4426.4235.442.040.30.00.9-0.40.0341.0434.0235.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.041.036.051.087.039.030.0999.0-2.3-2.8-2.50.061.066.060.053.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.030420000.030255676.030079702.029909968.029537700.011071358.012423385.01254525.0160968.029837308.021339236.00.00.057288.057288.00.00.00.00.0-25313.05363432.0817367.06155486.0-18158.096.01046.0-17016.00.00.00.0False
262042020-06-30 23:20:001224.01061.01128.035.061.048.049.048.040.068.037.052.0999.0999.059.049.00.060.061.058.068.067.039.0350.311.710.110.70.37.14.95.90.4-6.5343.825.00.041.040.039.039.0268.81.050.0575.6572.4570.3148.6156.0162.9357.9185.142.032.90.00.2-0.40.0268.0361.0186.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.041.036.051.087.039.030.0999.0-2.2-2.8-2.50.161.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030420000.030256276.030080302.029910568.029538300.011071358.012423985.01254525.0160968.029837908.021339836.00.00.045014.045014.00.00.00.00.0-25313.05363432.0817412.06155531.0-18158.096.01046.0-17016.00.00.00.0False
262052020-06-30 23:30:001166.01046.01080.030.061.047.049.048.040.068.036.053.0999.0999.058.049.00.059.060.058.068.066.039.0350.311.110.010.30.26.84.55.50.4-7.1343.225.00.041.040.038.038.0221.31.050.0574.2570.4568.6121.0129.1135.6326.4142.441.029.00.00.3-0.40.0220.0329.0141.029.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.041.036.051.088.039.030.0999.01.9-2.8-2.40.361.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030423600.030256876.030080900.029911168.029538900.011071358.012424584.01254525.0160968.029838506.021340436.00.00.036919.036919.00.00.00.00.0-25313.05363432.0817449.06155568.0-18158.096.01046.0-17016.00.00.00.0False
262062020-06-30 23:40:001086.01043.01055.08.060.047.048.047.040.067.037.049.0999.0999.057.049.00.058.059.057.067.066.039.0350.310.410.010.00.06.54.45.30.3-6.7343.625.00.042.041.039.039.0208.41.050.0572.4568.6566.8113.7122.0128.5248.0169.441.017.50.00.2-0.30.0208.0249.0168.017.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.041.035.051.088.039.030.0999.0-1.8-2.7-2.40.161.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030423600.030257476.030081500.029911768.029539500.011071358.012425184.01254525.0160968.029839106.021341036.00.00.034672.034672.00.00.00.00.0-25313.05363432.0817484.06155603.0-18158.096.01046.0-17016.00.00.00.0False
262072020-06-30 23:50:001058.01034.01049.03.060.047.048.047.040.067.037.045.0999.0999.057.050.00.057.059.057.067.066.039.0350.310.19.910.00.06.24.04.90.3-5.2345.125.00.041.040.039.039.0177.91.050.0570.0566.0564.396.1104.5111.0218.2122.541.021.50.00.3-0.30.0177.0218.0121.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.041.035.051.088.039.030.0999.0-1.2-2.5-1.80.360.066.060.052.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.030423600.030258078.030082104.029912370.029540102.011071358.012425786.01254525.0160968.029839708.021341636.00.00.029673.029673.00.00.00.00.0-25313.05363432.0817513.06155632.0-18158.096.01046.0-17016.00.00.00.0False